submitted by /u/RichKatz [link] [comments] |
from Artificial Intelligence https://www.reddit.com/r/artificial/comments/f6x5pu/artificial_intelligence_yields_new_antibiotic/
submitted by /u/RichKatz [link] [comments] |
from Artificial Intelligence https://www.reddit.com/r/artificial/comments/f6x5pu/artificial_intelligence_yields_new_antibiotic/
Today we, digital designers, have a terrific opportunity to use real data â or generated â on our daily work. We can test and iterate our design solutions faster and in a better way for everyone. The days of Lorem Ipsum are long gone, thank God.
You can save hours of your time, provide better solutions faster and save the companyâs money by using such functionality. In addition, even the most boring mockups come to life in seconds. Those of you who have used Sketch Data or Framerâs database âintegrationâ knows what Iâm talking about. However, both these features are useless if there are no proper datasets available.
I decided to fix that, and have created 320 various datasets, sorted and structured for ease of use with Sketch,
without destroying your workflow with buggy 3rd-party plugins. So if youâre designing a social, travel, tech, nature, urban, fin, or any other project, this article and datasets Iâm providing will be really helpful!
Make sure to check out the videos below before diving into the details. So you will understand the beauty of Sketch Data feature on a few examples.
Letâs go đ
â
Itâs nice to have a date & time generator like Craft, for instance. However, for different cases, you need to use different formats of date representation like:
⢠06 May 2019
⢠06/05/2019
⢠06/05/2019 18:00
⢠06/05/2019 6:00 PM
⢠May 6, 2019
⢠Mon, 6th of May
⢠2 hours ago
⢠Last week, etc.
For instance, if youâre designing a messenger app, more likely than not, you need to use relative time (e.g. 15 min ago) and a shortened but still readable date format (e.g. May 4, 11:35) instead of 06/05/2019 6:01:33, right?
Itâs actually quite the opposite, if youâre working on a travelling project, you should be really specific in date & time and use 06 May 2019, 3:15 PM. Or for a huge database, the format like 2019/05/06 might be the case.
To generate date & time datasets at various formats I used the following formulas and Google Sheet.
Obviously, this one is aimed at generating a date starting from the 30th of October 2018 with one day step for each next cell. To get a valid date starting from today, change A1 to =CurrentDate.
This one is for a random time between working hours (8â21 hours) with minutes multiples of 5, just to make it a little bit prettier.
This one is a bit more complex and generates a random date and time in a format 2019.04.04 18:40:10 where minutes and seconds are multiple of 5. Now it can be easily changed to any other format (e.g. 4 Apr 2019, 2:35 PM).
When Iâve all the needed formats/styles ready, I duplicate them to 100 rows to get a big enough list of randomly generated dates & times. Then all I need to do is to copy and paste them to the appropriate .txt files and save.
Here is a quick tutorial of how to create, save and connect a dataset:
This one is more interesting. To generate the full names, Iâve prepared 4 columns:
Column B: 1000 Male first names
Column D: 200 Male last names
Column F: 1000 Female first names
Column G: 200 Female last names
With the formula below, I generate a full name (both male and female) by randomly taking the values from the appropriate columns and combining them into one string value divided by space.
Okay. So now you have 2 separate lists. But what if you need a mix of both male and female full names? Easy. With the following formula, Iâm just expanding the range from where to take the first and last names. Now generative full names for my dataset are ready.
Now the trickiest one. So, how can one generate emails properly by ensuring any coincidences (at least to minimize them as much as possible) with the real/taken emails in terms of privacy and GDPR? Sounds tough, huh?
To do so, Iâve added 3 more columns (up to 4 previously mentioned with names) with the following values:
Column K: 100 Randomly generated numbers (1â100 range)
Column L: English Alphabet is written in sounds (e.g. ei, bi, ciâŚ)
Column M: 160 popular email service providers
Now, with the formula below, Iâm combining everything into a randomly generated emails like 32bengamindelee_ach@fastimap.com.
Here is the breakdown:
Iâve divided texts into 6 topics: design, motivation, nature, sport, tech, and travel. The difficulty here was about copyrights so far as someoneâs materials couldnât be used for any commercial purposes, unless they are from free-for-use resources. And because of the topics, I had to find a way to generate meaningful texts on my own. However, I have found another solution.
https://talktotransformer.com/ â this is a neural network that generates quite good texts based on a short message of some topic. Letâs say you need a few paragraphs of text about motivation. You can start with âTeach yourself to be a mentor. Your team still respects you enough to hear you and to keep moving in one direction but with fun and no bias.â And you will get the following:
So, Iâve grabbed some sentences from my own articles, fed them to this neural network and got the needed amount of texts for my dataset. The copyrights are not violated and no one has been injured đ
When datasets are ready, they needs to be connected to Sketch. Itâs really easy to do.
1. Go to Settings ⢠Data ⢠Add Data tab.
2. Choose needed datasets or folders. Done.
I advice you to connect a root folder or at least the nested folders. In that way, it will be easier to update them and keep the structure clear. If youâll add, letâs say, one more date format to your folder, it will automatically appear in Sketch Data list. But do not connect the datasets (.txt files) one-by-one. It ainât Cool.
You can spend some time to create/generate such datasets on your own. Or đgrab mine, already prepared, sorted, and structured for your convenience. Here is the list of datasets you will get:
1. Names
⢠Male full, first and last names
⢠Female full, first and last names
⢠Full Names â mix
2. Date & Time
⢠Date in various formats (e.g. 20/05/2019, 20 May 2019)
⢠Time in various formats (e.g. 12:32:34, 11:17 AM)
⢠Time relative (e.g. Last month, 2h ago)
⢠Time Zones (e.g. EET+2, GMT+1, UTC-3)
⢠Duration (e.g. 45h 30, 37 min)
3. Devices
⢠Device type
⢠Apple devices (iPhones, iPads, MacBooks)
⢠Samsung phones
⢠Display models, resolutions, refresh rate, matrix type, etc.
⢠Mix of mobile devices
⢠iOS and Android OS versions
4. Cities & countries
⢠Countries worldwide
⢠Countries AMER, APAC, EMEA regions
⢠Countries capitals
⢠Countries 2-, 3-letter and numeric codes
⢠US States, their capitals and cities
⢠Cities of 8 countries (China, France, Germany, Italy, Japan, Spain, Ukraine)
⢠All names localized to 8 languages (DE, EN, ES, FR, IT, JA, UK, ZH) đ¤Š
5. Tech: File sizes
⢠Random 10â500 KB
⢠Random 10â800 MB
⢠Random 1â500 GB
⢠Random 1â20 TB
6. Random Numbers
⢠1â10
⢠10â100
⢠10â300
⢠10â999
⢠100â9999
7. Phone Numbers
⢠Random Phone numbers
⢠Country codes
8. Currencies & Prices
⢠Currencies codes, symbols and names
⢠Worldwide currencies sorted by code, name, country
⢠Prices (e.g. $16, 403 âŹ, ÂŁ800)
9. Languages
⢠Languages 2- and 3-letter codes (e.g. ES, ENG)
⢠Languages native names
⢠All names localized to 8 languages (DE, EN, ES, IT, JA, UK, ZH) đ¤
10. Messages & Texts
⢠Random short messages with 8 localizations!
⢠Generated paragraphs of texts on various topics
11. Airports
⢠Airports (most popular and worldwide) IATA codes
⢠Airports sorted by names, cities, and countries
⢠US popular airports sorted by IATA codes, names, and cities.
â
Here is the list of some functions that might be useful:
⢠Randbetween (A,B) â randomly gets a value between A and B.
⢠Mround (A, B) â rounds the value A to value B.
⢠CountA (a, b) â allows to count the number of certain values within a specific data range. Use it to count string values.
⢠Concatenate (A1, â:â, B1) â combines values from A1 and B1 cells and puts a colon between them.
⢠SUBSTITUTE â search to needed text among needed values.
⢠(A:A) â values from the entire A column.
⢠(A:C) â values from the entire A, B and C columns.
⢠({A10:A100, D:D, F2:F}) â the multiple ranges of values from column A cells 10â100 AND the whole column D AND the whole column F excluding cell F1.
To summarize: using Sketch Data with the meaningful dataset is a smart and fast way to fulfill your designs with the proper data in seconds. No more hassle with the manual filling repeated text blocks for you and your team!
In addition, Iâll be adding more specific datasets and formats in the future. It will be available for Framer as well. So consider following me on Gumroad for valuable updates.
From the cons, I would mention only one. You could not save a specific or alphabetical order of values. Sketch taking values randomly. However, Iâm pretty sure, the Sketch team will fix all that soon, right? đ
Please, encourage free knowledge sharing by đ !
from Medium https://medium.com/@justd/sketch-data-4d22f823253c
Explore our surprisingly simple, absurdly ambitious and necessarily incomplete guide to the boundless mathematical universe.
from Sidebar https://sidebar.io/out?url=https%3A%2F%2Fwww.quantamagazine.org%2Fthe-map-of-mathematics-20200213%2F
There’s been a lot of buzz about mobile onboarding lately. That’s because the mobile industry continues to grow at a rapid clip, and product managers are trying to figure out how they can distinguish their app from competitors.
Since we all know how important first introductions are, there should be no questioning how important (and effective) mobile onboarding can be. And indeed, the most effective way to set your app apart is during new users’ first experience with your app.
Looking for proof that onboarding matters? Just take a look at the 4 statistics below.
What this statistic tells us: There are several reasons users come to an app once and then promptly abandon ship: The user experience is bad, the app isn’t relevant to their needs, or they don’t see the value of the app. Let’s assume the first 2 don’t apply, since you’ve spent time and money on your UX and ensured you’re targeting the right audience with your ads.
This leaves the latter: users aren’t seeing the value of your app. That doesn’t mean it isn’t there! Remember that you’re battling a world of short attention spans. If how your app helps users isn’t explicitly clear right out of the gate, you risk losing them.
How better onboarding can help: One way to approach app onboarding is to treat it like a (well done) movie trailer that provides users with a synopsis of what the app has to offer and why it’s beneficial. Sure, there will be more to explore once the user gets into the app, but good app onboarding leaves them with a clear picture of what to expect and makes them excited to get started.
What this statistic tells us: To say the app market is oversaturated is an understatement. As global trends shift towards mobile-first, it seems like everyone is vying for their piece of the pie. Competition is fierce, and only those apps that manage to make a lasting impression will survive.
How better onboarding can help: The faster you can relay the value of your app to users, the better chance you have of winning them over. And good onboarding has a strong trickle-down effect:
A strong app onboarding experience = happy new users = higher retention rates = more organic app downloads from recommendations = higher app store rankings and overall visibility
What this statistic tells us: Mobile is officially the first-screen preference and apps are the most efficient way for mobile users to complete tasks. Apps have the ability to remember preferences, allowing users to pick up where they left off and also personalize the user experience in ways web can’t. But getting mobile users to commit to new apps is tricky.
How better onboarding can help: App onboarding showcases the benefits of a tailored experience. From in-app customizations to faster check-outs, using an app over a mobile browser is a no-brainer. A great onboarding experience will relay this message to potential users.
What this statistic tells us: If the first 3 statistics didn’t do it for you, this one should. App onboarding is proven to be successful at boosting retention rates—which is the end goal for all mobile marketers and product managers.
How better onboarding can help: If you want to see a good lift to app retention rates, make sure your app onboarding clearly highlights the value of your app—aka what’s in it for the user. A great onboarding experience should leave users feeling bought in and excited to get started.
The above stats speak for themselves. As we move into 2020, app onboarding shouldn’t just be on your radar—it should be an integral part of your mobile strategy. If you think about it, it’s no surprise that app onboarding is so effective. Liken app onboarding to test driving a car or trying on a new pair of shoes before buying. Being able to understand a product’s value and how it aligns with their needs is what drives customer loyalty and retention.
Interested in creating an engaging app onboarding strategy that will highlight your app’s value, increase engagement, and boost retention? Of course you are! The great news is that Appcues is now available for mobile, meaning you can create, edit, and publish effective mobile onboarding experiences in a fraction of the time.
👉Sign up for Appcues for Mobile to get started! 👈
from The Appcues Blog https://www.appcues.com/blog/mobile-app-user-onboarding-statistics
Read the blog published on playbook.uie.com.
A case study of how one team used quantitative and qualitative data to their advantage.
Sam Nordstrom had a big problem to solve. As a product manager for Intuitâs Quickbooks, Sam had learned that the new feature his team just shipped wasnât used nearly as much as theyâd hoped. He didnât know why.
When they demoed their new feature, their users told them they loved it and would use it. Everyone agreed the feature offered huge advantages to QuickBooks users. Yet, now that it was out in the world, the users werenât getting those benefits.
Samâs team had implemented a new way for QuickBooks users to get their customer invoices paid. The software added a button to invoices labeled Pay Now. When customers pressed the button, the software set up an instant transaction that sent their invoice payment directly to the Quickbooksâ customer.
Early testing showed, when the customers paid this way, the Quickbooks user would get paid substantially sooner than when they used regular invoices. It was a huge advantage to every small business person using the product, as it increased their cash flow.
But users werenât using it. Sam and his team didnât know why.
Sam and his team visited their users. Intuit has customer visits in their DNA, so this was not a special trip. It was common for the teams at Intuit to visit customers.
Yet, this time, Samâs team was looking for specific answers. Why werenât the users taking advantage of the speedy payment feature?
They hung out with several QuickBooksâ users. They watched those users send out their invoices and process their collections.
They saw it was awkward to use the Pay Now feature. Many of their users preferred Gmail to correspond with their customers. The QuickBooks users often had an existing correspondence thread, complete with price quotes and status updates.
The QuickBooks users would invoice their customers by replying with a Gmail message and attaching the invoice PDF. To these users, this made more sense than sending the invoice from within the QuickBooks user interface. But those users didnât get the Pay Now capability, because saved PDFs canât have the necessary button.
When users sent an invoice from inside the product, instead of in Gmail, their invoice message was disconnected to other messages in their thread. The usersâ customers missed the Quickbooks-sent messages in their inbox, as they had a different âfrom addressâ and âsubject.â This made collections more difficult.
Visiting a few users showed the new feature had a clear problem. Yet, Samâs team wondered how widespread this issue was. Were other users avoiding the new Pay Now feature for the same reasons?
When Sam and his team returned to the office, they dove into the data QuickBooks already collected from their users. How many users were saving invoices as PDFs? It turns out it was a high percentage of regular users.
When those users saved invoice PDFs, were they attaching them to email threads in Gmail? The team asked a bunch more users and, sure enough, many of them were doing just that.
Were the users who were saving PDFs getting payments through the new Pay Now payment system? Their usage data said they werenât.
Were the users who did get payments through the new payment system also saving PDFs? Rarely.
Their usage data suggested most users were saving PDFs and not using the payment system. More importantly, those users saving PDFs were paid substantially slower than those using the payment system.
Sam and his team formed a hypothesis: If they could get users to send invoices with a Pay Now button, those users would get paid faster. But how could they do that?
The team developed a Gmail extension that inserted an invoice with a Pay Now button directly into an email reply. They tried the extension out with a few customers and, sure enough, the customers found it easier than saving PDFs, adding them as attachments, and dealing with the collection headaches.
As Samâs team rolled out the Gmail extension, they watched their usage data. Were users who installed the extension using it? Yes. Did they save fewer PDF invoices? Yes. Were they being paid faster? Yes.
Sam and his team solved their big problem. They created an innovative solution to a hard problem.
The team couldnât have done it without their data. They formed their deep understanding by hanging out and observing a few customers. They learned how extensive the problem was by diving into the productâs usage data. They observed, in real-time, the changes in the usage data, as they rolled out the fix to the problem.
All of this dataâââqualitative and quantitativeâââguided the team to an ideal solution. It told a complete story that drove the teamâs problem-solving process.
Samâs team built a sophisticated approach to user research. They used data strategically, which delivered insight into their problem and its potential solutions. They couldnât have achieved the improvement as quickly without it.
To deliver better designs, teams need to grow their own qualitative and quantitative data collection capabilities. They need to integrate these efforts into their user research processes. With this expanded capability, theyâll drive their organizations to deliver better-designed products and services.
This article was originally published in our new UX Strategy with Jared Spool newsletter. If youâre passionate about driving your organization to deliver better-designed products and services, youâll want to subscribe.
Subscribe here.
At our 2-day Creating a UX Strategy Playbook workshop, we look at every aspect of a solid UX strategy, including how youâll integrate your qualitative UX research with your quantitative metrics. Weâll look at activities that help you find champions, drive customer-centric decision making, and increase the design skills of the teams you work with. Youâll choose the strategies that are most feasible, ready to put them into action the day you return to work.
We limit each workshop to 24 attendees and they often sell out months in advance. You can learn more at Playbook.UIE.com.
Building an Integrated Qualitative and Quantitative User Research Capability was originally published in UX Strategy Playbook with Jared Spool on Medium, where people are continuing the conversation by highlighting and responding to this story.
from Stories by Jared M. Spool on Medium https://medium.com/creating-a-ux-strategy-playbook/building-an-integrated-qualitative-and-quantitative-user-research-capability-9087df4975c?source=rss-b90ef6212176——2
Deciding which features and fixes to prioritize is one of the most difficult parts of being a product manager or app owner. The reality is that there’s a lot of guesswork involved.
To say product managers “wing it” isn’t true—any good PM relies heavily on user data to steer things in the right direction. But as you probably know all too well, the inputs that go into product roadmap decisions aren’t so neat and tidy. There’s an endless onslaught of competing ideas and requests from executives, team leads, customers—even your competitors can influence the game plan.
Building any product is ultimately a highly subjective and iterative process. In the early days, even your concept of your own app’s core product value can change in an instance. Even for a well-established product, roadmapping is never a one and done event. Your plan for the future of your app can (and should) evolve.
Most of the top companies eventually figure out an important fact: You can’t please everyone with your mobile app—nor should you try. The best apps fill a specific niche and specialize in solving one clear problem:
As your app evolves, you may find yourself with a lot of feature baggage—features that seemed like a great idea at the time, but never quite struck the right cord with your users.
You need to cut features that are no longer contributing to your app’s core value or risk bogging down your app’s ability to thrive. But how exactly do you determine which features to cut? And how do you go about killing a feature?
“If you let too many features creep into your product, the core value proposition and vision can easily get diluted. The product will start to seem “big” and “complex”, and does not easily solve the problem the customer had in the first place.”
Allowing deadweight, leftover, or non-contributing features to exist within your app is harmful for many reasons. Feature creep can kill your app over time by:
Of course, if you’re reading this article, you probably already know that keeping low-performing features afloat is bad for your app. But choosing which features to cut can be hard—even if you know it’s necessary. There are a plethora of questions you can ask yourself during this process, but for simplicity’s sake we’ve narrowed it down to the 3 most important questions.
If you answered “no” to any of those questions, it may be time to clean house. Just make sure you get the right buy-in first. Co-founder of Mind The Product Janna Bastow explains:
“Before you go slashing apart your product, create a ‘kill list’ of items you’re thinking you’d be better off without. Get a second or third set of eyes on the paper, and discuss why you’d like to sunset each item. Most will likely be obvious, but be ready to talk about the cost of upkeep vs. the benefit of keeping a small fraction of your users happy, or whatever else you’ve got to qualify your call.”
Now let’s assume you’ve identified which feature needs to go. How do you sunset a feature smoothly? Let’s take a look at 3 key steps to saying goodbye to a feature that’s outlived its value.
The biggest concern when it comes to killing an app feature is customer backlash. Tackle this head on by:
You should allow users to migrate off the doomed feature in the weeks and months before things go dark. Choose a prominent in-app messaging UI pattern (like a modal or slideout) to point users down an alternate path so that they can gradually wean themselves of the feature in overtime. Be prepared to support users with additional customer success and support resources during this time.
If you absolutely must kill a feature quickly, make sure you have something superior to offer them in its place—whether that something is a new-and-improved feature or simply a more streamlined workflow. Never delete stored user data or content without advanced notice.
And above all, you should be communicating with your customers throughout the process. Use a combination of in-app messaging, email, and CS outreach to make sure customers feel like they’re in the loop.
For example, when GrooveHQ realized their Live Chat app was a lost cause, diverting both revenue and resources away from their core values, they knew it was time to kill the app. It was a very difficult decision, but they chose to be open and honest with their users, which paid off in the long term. CEO Alex Turnbull’s email is a great example of what your customer communication should entail:
It’s nerve-wracking making any big product change, let alone chopping off an entire part of your product. That’s why it’s important to lead with the data, rather than emotions. You should follow up with data, too. Use the data that you gathered pre-cut as a benchmark for analyzing user behavior after the fact. Keep a close eye on things like engagement, number of support tickets, and NPS scores to ensure that app users are adjusting to the change and adopting whatever new feature you have in its place (if any).
When HubSpot overhauled their social media tools, they actually had the old and new versions running simultaneously until customers became acclimated with the update. They measured the user opt-out rate (those users who chose to switch back from the new social media UI in favor of the old) until it was down to the single digits before completely killing the product. Why?
“[This approach] made sure that we’d addressed most of the concerns our users had with the new interface. It also meant that most users were comfortable using the new tools before we took the option to use the old ones away.”
You’ve made the call and done your due diligence to ensure it was the right one. Now it’s time to move on. Use that extra headspace to innovate and come up with fresh ideas about how to take your app to the next level. Put your newly freed up resources back to work on the features that matter most and the backlog that’s been piling up.
Look forward and move ahead. You’ll be amazed at what you can accomplish when you’re not bogged down by unnecessary features.
After you’ve made the hard decision to shed the extra product weight, you need a solid plan in place to ensure you stay on track for the future. A product prioritization framework can help ensure that everyone on your team is on the same page and has a common goal in mind.
There are many different product prioritization methods to choose from. One simple method is story mapping, which emphasizes the user experience over internal stakeholders:
Another useful framework is the Value vs. Complexity Quadrant, which can help you identify the projects with the highest ROI for both you and your users:
Credit where credit’s due, we also like the RICE method originally developed at Intercom. The RICE model ensures their team ships the features that make the biggest impact.
All of these frameworks work by taking the emotion of building features (or at least organizing that emotion into quantifiable measures) and lets the data determine the best path forward.
When you build software, killing your darlings— aka cutting your beloved non-contributing features—is a necessary and normal part of growing up. The things that made sense a couple years ago might not be a good fit for your company today.
That’s why it’s not enough to just do it once. You should make killing app features a regular part of your product strategy. Your goal as an app product owner is to figure out what your users really want and need most— and then build the best version of that possible.
As startup champion David McClure once put it:
“Kill a feature every week. When you kill the wrong one, people will make noise and you’ll be clued in to what actually adds value.”
from The Appcues Blog https://www.appcues.com/blog/cutting-features
Previously on the Appcues Blog, Sarah Knapp dug deep into the idea of creating an omnichannel onboarding experience for your new users.
There, Knapp discussed the importance of creating a truly interconnected omnichannel onboarding experience—with a specific focus on merging in-app and email communications in a variety of ways.
To be sure, these 2 channels certainly can be used in conjunction with one another to enhance your onboarding experience—but there’s no need to stop there. Instead, we suggest that you use this double-barreled approach to communication throughout the customer lifecycle.
Which is exactly what we’re going to be talking about today.
Customer lifecycle marketing refers to the process of engaging with specific customers for a specific purpose, based on where, specifically, these customers are in their user journey with your brand.
Basically, the idea is to provide exactly what the customer needs to continue their journey in the right direction.
A few examples:
Adopting an omnichannel approach to lifecycle marketing can be beneficial to both your customers and your business.
For one thing, engaging with your users on multiple channels increases the amount of exposure they have to your brand. Tangibly, this increases the chances that your users will see your message in the first place (since they’ll likely see it more than once on different channels). In the more abstract sense, increased exposure to your brand will likely lead to increased brand recall—in turn leading to more habitual use of your product or service.
Moreover, this omnichannel approach can enhance the quality of your customers’ experiences with your brand. Instead of creating separate communications for different channels, you’ll use each channel to strengthen singular messages at various times throughout the customer journey. This will lead your customers to continue digging deeper into the experience you’ve created for them.
Which brings us back to the main purpose of customer lifecycle marketing: increasing user engagement, and getting your users to take the “next step” in their journey. Again, it’s all about giving the customer exactly what they need—be it further instruction, timely prompts and reminders, or additional offers of value—to keep them engaged as active users of your product or service.
If you can consistently deliver all this to your customers at every point along their journey, you’ll have little trouble growing a raving crowd of loyal users.
Now, let’s dig into the many ways you can align and integrate your lifecycle emails with your in-app messages. More specifically, we’ll look at:
Let’s get to it.
Onboarding is probably the most critical stage of the entire customer lifecycle, because it sets new users up for success (or failure) down the line.
At this point, your new users may have a pretty good idea of the value your app has to offer in the abstract… but they likely don’t know how to use your app to fully extract this value.
It’s your job, then, to quickly get them up to speed—and to keep them motivated and engaged as they navigate your app and your overall brand experience.
By tying your in-app messaging to your email communications throughout the onboarding stage, you’ll reinforce not just the information and prompts being provided, but also the relationship you’ve begun to forge with your new users.
Here’s how to make it happen.
The very first part of the user onboarding experience involves welcoming newcomers to your app and brand.
To initiate this stage in the first place, the new user will need to officially register for your services.
(Note: As we’ve discussed before, you may want to allow new users to experiment with your app a bit before requiring them to sign up. For the purpose of this conversation, we’ll assume the user is 100% prepared to register.)
Once new users provide their contact information, you can set a confirmation email to be sent automatically to their inbox.
With regard to double opt-in prompts, there’s no single “best” approach. Rather, it depends on what works best to engage your target audience.
(The screenshot from Acorns, for example, has new mailing list members confirm via email that they did, in fact, intend to sign up for the service within the app. You could also have those who sign up for your service via your website confirm their registration via in-app messaging or email—depending on which is most effective for your audience.)
A double opt-in prompt all but ensures those who confirm their registration are prepared to move forward with their experience.
You might also use your confirmation email as a means of reinforcing the value of your app, as Ibotta does here:
Once you’ve confirmed your new user’s contact info, your next step will be to extract additional information about their profile and their needs—while also introducing them to your app’s features.
Throughout this onboarding workflow, Strava:
Strava backs up these in-app messages with a welcome email that summarizes the app’s functionality and prompts the user to take further action:
MailChimp takes a similar approach to this introductory phase, by asking new users to answer a series of questions that help MailChimp tailor the experience to each user’s needs:
These questions allow MailChimp to further segment individual users from the get-go—and begin delivering highly relevant and valuable content to their email inbox right away.
The goal here is to ensure your new users know exactly what they’re getting into when signing up for your app, and to learn as much as you can about their unique needs in order to provide maximum value to them at all times.
From there, you’ll be ready to ramp up their onboarding experience by…
Once a new user has completed the initial intake process, they’ll be ready to learn how to use your app.
At this stage, you’ll want to use email as a means of communicating “big picture” messaging, and your in-app messaging for more “nitty-gritty” prompts and instructions.
For example, Square sends new users an email that allows them to complete a multitude of tasks at their own pace, in whichever order they choose:
The risk is that users won’t revisit this type of onboarding email and complete all the calls-to-action within. Another approach, is to break up these early learning tasks and create onboarding email drips to be delivered on a regular basis as the user gets acclimated with your app.
In the example above, Headspace accomplishes a few things really well:
First, the email acknowledges the user’s progress, and points out some of the hidden growth that is taking place within them. Second, it addresses any objections or fears the user may have regarding their experience thus far—and explains how to overcome them. Finally, it provides a gentle reminder to “keep up the good work”—prompting the user to return to the app as intended.
All of this is then reinforced directly within the app, via in-app messaging and gamified elements throughout the app experience:
Now, there may be times where your new users fail to take certain actions that would enhance their overall experience, either by adding delight or making them more successful users. In this case, you’ll want to send a targeted email reminding these users to take action—and explaining what they stand to gain by doing so.
In this example, downloading the desktop app will not only enhance the user’s overall experience with additional features, but will also provide Loom with another means of communicating with the user (via desktop notifications and further in-app messaging).
Whether you’re asking users to upgrade, download a different version of your app, or adopt new features, it should always be a win-win for you and your user.
Again, the onboarding process is all about getting new users up to speed and engaged with your app as quickly as possible. Because they may not yet use your app habitually—and therefore might not even see your in-app messages in the first place—it’s a good idea to use email as a springboard for further engagement, then back up these prompts with clear instruction within your app.
As we alluded to above, celebrating your new user’s progress is paramount to keeping them motivated to continue using your app on a regular basis.
Celebrating user progress helps improve both the user experience and your engagement rates by::
Once again, you’ll want to use email to celebrate “big picture” milestones, and in-app messaging for acknowledging quick wins and steady progress.
(The reason for this is simple: You want to celebrate quick wins directly and at the very moment your user makes progress—and you want to keep them on track in progressing even further. Pulling them away to their inbox after every quick win would only serve to distract them.)
Take the following example from Etsy:
Notice the uplifting nature of even the most basic copy. Here, the user simply selected USD as their preferred currency, and they’re met with an excited greeting, coupled with vital information for their account.
The point being:You don’t need to go overboard when celebrating quick wins. In many cases, you simply need to provide a quick pat on the back to let the user know they’re on the right track.
Now, in some cases, you’ll want to reinforce your acknowledgement of your user’s progress via email.
Using the example from above, Etsy might decide to send follow-up emails at certain points along the onboarding journey:
(Note that you wouldn’t force the user to engage with these emails before moving onto the next step—but this communication can still add value to the overall experience as an optional way to engage new users.)
The goal is to keep your new users moving forward in their onboarding journeyKeep them motivated and engaged, and they’ll be ready to use your services in no time.
Once a user is onboarded, the last thing you want to do is go completely incommunicado on them.
Reason being: There’s no guarantee they’ll continue using your app. Period.
Instead of leaving their return completely up to chance, your best option is to actively reach out to them in order to keep them engaged.
First and foremost, your goal is to get your newly onboarded users to begin using your app habitually, or as a matter of course.
This is where well-timed email reminders and push notifications come in.
How often you send these reminders should be related to how frequently your app is intended to be used, and/or the circumstances in which it’s meant to be used.
For example, Duolingo sends out push notifications and email messages at the same time every 24 hours (to users who have opted in to daily reminders, of course):
Note that each message uses different methods of nudging the user:
Both channels give users a clear reason to engage further with the app. And, if they happen to see both messages, well…they’ll have even more reasons to do so!
Again, the timing of your reminders depends on how, when, and why your users use your app.
You might choose to personalize these reminders based on individual use cases. For example, a workout app might send different reminders to a user on arms, legs, and chest day respectively. In backing up these reminders, the team might send emails reminding them of their progress, or of any “streaks” they might be breaking by missing a day.
For those whose usage rates start to decline, you’ll want to do whatever you can to get them back on track.
Duolingo takes both a proactive and reactive approach to re-engaging users. On a weekly basis, Duo sends users a progress report—complete with a comparison to their previous weeks’ work:
Here, users that haven’t been as active more recently might be inspired to get back into the habit upon seeing the progress they’d previously made.
On the reactive side, Duo sends individual emails to its at-risk users, and makes one last-ditch effort to engage via push notification:
While it might be wise to include a bit more personalization in these winback messages, they both serve as a sort of low-pressure reminder to check back in on the app whenever possible.
It takes time for your users to develop habitual use of your services. That said, it’s essential that you deliver well-placed and well-timed reminders to your new users in order to integrate your app into their lives.
Beyond getting your users to habitually use your app’s basic functions, you also want to get them to dig deeper into all you have to offer as time goes on.
In some cases, you’ll be prompting the user to revisit certain tasks they may have skipped or glanced over during onboarding.
In this example, Harvest nudges users to turn on push notifications by focusing on what they stand to gain by doing so. Presumably, these push notifications will supplement the reminders Harvest sends via email at the appropriate times.
You can also be a bit more open-ended here, providing optional opportunities for your users to check out additional features and functionalities.
Slack presents a similar list of features and tips directly in the app, as well:
Note that in both cases, the initial message is used to point the user toward further resources on Slack’s blog or website. When you promote a specific resource or piece of content, it’s essential that your in-app and email messages are 100% in-line with one another.
(Otherwise, you run the risk of throwing way too much information at your users at a single time. In turn, they may be even less likely to engage further at all.)
As your users become familiar with your app, they’ll also become used to it—meaning the novelty of your app will eventually wear off. Unfortunately, this can lead to decreased engagement, and even churn.
To keep this from happening, you should always be introducing your users to new features, functionalities, and shortcuts that will benefit their individual experience with your app. And of course, you should support these introductions with additional content across a variety of channels.
Once your users have become regulars within your app, you’ll want to get an understanding of how their experience has been thus far.
To do so, you might decide to send out a quick 1 or 2-question survey directly within your app:
Note that Zomato allows users to provide feedback directly in the in-app form, but also gives them the option of emailing the team, as well.
Having options benefits the user, as it allows them to use their preferred channel to engage further with the brand while completing the survey. For the team, it increases the chances that users will give feedback in the first place—and also opens the door for them to provide more valuable, in-depth feedback, too.
You might also use your in-app survey to request further engagement via email:
Here, Human asks a quick question about the user’s preferences via their app, then promises follow-up communications via email—preparing the user for further messages from the brand in the near future.
It’s also worth mentioning that not every customer in need of assistance will actively seek out help from your team. So, it’s up to you to proactively provide customer service throughout the customer lifecycle.
And, of course, if a customer does request assistance, you’ll want to follow up with them once their issue has been resolved:
At this stage of the customer lifecycle, the aim is to get your users comfortable enough with your app that they begin to use it on a regular basis.
But “regular” use isn’t the end game.
The ultimate goal is to get your users to the point where they’re getting the most possible value from your app for their specific needs.
Incidentally, this also means that the user will be as engaged with your app as they possibly can be—meaning you’re getting maximum value from them, too.
There are a number of tricks to get (and keep) your users in a state of hyper-engagement. Such as…
As mentioned, you want to be absolutely sure your most-engaged users know how to get optimum use out of your app. Ultimately, you want to get these users to a place where they’re so advanced and capable, that they start to discover the edges of your app’s capabilities.
So, as your users become better versed in the ins and outs of your app, you’ll want to continue introducing even more advanced features, functions, and use cases to them.
In some cases, you’ll want to begin directly in the app, as MailChimp does here, with pro tips sprinkled throughout the user dashboard:
In a case such as the above, users who engage further with the tips could then be sent follow-up emails that dig deeper into the feature at hand. This would not only reinforce the lesson in question, but will also provide the user with documentation for future reference.
Of course, you can also use email to point out specific features and provide expert tips, as well, and follow up with contextual in-app messaging once users click through to your product:
The idea is to gradually unroll the more advanced features your app has to offer as your users become more equipped to use them. (For example, most novice Trello users probably won’t be able to get much use out of automation features just yet.)
But, by introducing these features at just the right time in user’s lifecycle, you’ll deliver the exact value they need to continue using your app.
All good products evolve, and you’ll want to continue adding new features and functions to your app over time—and introducing them to your users as appropriate.
Here’s how GoToWebinar introduced its new Transcript feature in-app using Appcues:
In using email to follow up, here, GoToWebinar has a number of options, such as:
By providing in-depth instruction to your users across channels, you improve their ability to actually use the new features being unrolled, allowing them to get even more value from your app, overall. And by soliciting feedback from them, you ensure they stay engaged to see how else your app can help them in the future.
(And you can then use this feedback to make further improvements to the customer experience—both on an individual and audience-wide basis.)
Whether you’re aiming to convert freemium users for the first time or get your premium users to make additional purchases, aligning your in-app and email messaging is essential.
In certain cases, you’ll want to begin directly within the app. For example, Spotify informs freemium users when they’ve skipped too many tracks with a tongue-in-cheek nudge toward a Premium subscription:
From there, Spotfiy follows up via email with its famous “99 cents for 3 months” offer:
(And follows up… and follows up…)
Similarly, freemium users of Grammarly’s services are presented with a preview of all the additional editing features they’ll get once they become paying customers:
Users who view this page can then be sent a follow-up email further explaining the benefits of a Premium subscription:
The process of facilitating additional purchases from your users is similar to much of what we’ve discussed already. As always, you should be sure to focus on a user’s specific needs above all else—don’t make the mistake of sending all your users the same upgrade prompt indiscriminately or trying to upsell at the wrong moment.
A few ways you can upsell more thoughtfully:
And, of course, you’ll want to reach out via email to follow up with your individual users accordingly. Whether you offer additional information, a discount, or something else entirely should depend on what will provide the recipient with the best possible value.
Keeping your in-app and email messaging aligned and closely knit allows you to reinforce and enhance your communications with your audience.
More importantly, creating this alignment allows you to become more present in your users’ lives, and enables them to further integrate your brand into their daily routine, as well. The stronger this connection becomes, the more likely the user will be to stick around well into the future.
Psst—Looking for a formula that will let you automatically send the right email drip for each in-app action? Check out the Growth Lab by Appcues for inventive ways to combine your product stack with integrations.
from The Appcues Blog https://www.appcues.com/blog/align-lifecycle-emails-in-app-messaging
More than a decade ago, Wired editor Kevin Kelly wrote an essay called â1,000 True Fans,â predicting that the internet would allow large swaths of people to make a living off their creations, whether an artist, musician, author, or entrepreneur. Rather than pursuing widespread celebrity, he argued, creators only needed to engage a modest base of âtrue fansââthose who will âbuy anything you produceââto the tune of $100 per fan, per year (for a total annual income of $100,000). By embracing online networks, he believed creators could bypass traditional gatekeepers and middlemen, get paid directly by a smaller base of fans, and live comfortably off the spoils.
Today, that idea is as salient as everâbut I propose taking it a step further. As the Passion Economy grows, more people are monetizing what they love. The global adoption of social platforms like Facebook and YouTube, the mainstreaming of the influencer model, and the rise of new creator tools has shifted the threshold for success. I believe that creators need to amass only 100 True Fansânot 1,000âpaying them $1,000 a year, not $100. Today, creators can effectively make more money off fewer fans.
Sound unlikely? Weâre already seeing this shift, according to creator platforms. On Patreon, the average initial pledge amount has increased 22 percent over the past two years. Since 2017, the share of new patrons paying more than $100 per monthâor $1,200 per yearâhas grown 21 percent. On the online course platform Podia, the number of creators earning more than $1,000 in a month is growing 20 percent each month, while the average number of customers per creator is growing at a rate of 10 percent. Likewise, on Teachable, the average price point per class offering has risen roughly 20 percent, year over year. In 2019, nearly 500 Teachable course creators made more than $100,000; of those, 25 averaged more than $1,000 per sale.Â
Now, 100 True Fans and 1,000 True Fans arenât mutually exclusive, and the revenue benchmark of $1,000 per fan per year isnât intended to be an exact prescription. Instead, this thinking provides a framework for the future of the Passion Economy: creators can segment their audiences and offer tailored products and services at varying price points.
Hereâs how it works: A creator can cultivate a large, free audience on horizontal social platforms or through an email list. He or she can then convert some of those users to patrons and subscribers. The creator can then leverage some of those buyers to higher-value purchases, such as extra content, exclusive access, or direct interaction with the creator.
This strategy is closely related to the concept of âwhalesâ in gaming, in which 1 to 2 percent of users drive 80 percent of gaming companiesâ revenue (though that model is evolving). Put simply, if you can convince a small number of super-engaged people to pay more, you can also have a general audience that pays less. By segmenting the customer base and offering greater value to top fansâat a higher price pointâcreators can earn a living with a smaller total audience.
Again, returning to the examples above, this isnât purely hypothetical. One creator on Teachable who advises artists on how to sell their art made $110,000 last year with only 76 students, at an average of $1,437 per course. Another creator who teaches physiotherapy made $141,000 with only 61 students, at an average price point of $2,314 per course. On Podia, the average revenue per user is increasing, as well. Creators who started out solely selling courses on the platform can now further monetize their audience by expanding into downloads and membership subscriptions. While making a living off the 100 True Fan model is far from commonplace, itâs increasingly possible.
There is a substantive difference between monetizing through 1,000 True Fans (at $100 a year) and 100 True Fans (at $1,000 a year). Whereas a creator can earn $100 a year from a fan via patronage or donations, collecting $1,000 a year per fan requires a wholly different product. These fans expect to derive meaningful value and purpose from the product.
This represents a move away from the traditional donation modelâin which users pay to benefit the creatorâto a value model, in which users are willing to pay more for something that benefits themselves. What was traditionally dubbed âself-helpâ now exists under the umbrella of âwellness.â People are willing to pay more for exclusive, ROI-positive services that are constructive in their lives, whether itâs related to health, finances, education, or work. In the offline world, people are accustomed to hiring experts across verticals (think interior designers, organizational consultants, public speaking coaches, executive coaches, and SAT tutors) and are willing to pay premium prices for the promise of measurable improvement and results. Now that mindset is filtering into our digital lives, as well.
This relates to Daniel Pinkâs concept of intrinsic motivation: weâre driven by Autonomy (the urge to direct oneâs life), Mastery (the desire to get better at something that matters), and Purpose (the yearning to do work in the service of something larger than oneâs self).Â
Regardless of the terminology, products and services in this category solve high-priority problems for consumers. Creators pursuing the 100 True Fans model recognize and monetize the desire for improvement and transformation. And better technology, such as video course platforms and improved real-time video streaming, allows for richer, higher-quality content than was possible a decade ago.
There are many examples of existing premium subscription services that have already conditioned consumers to pay high prices for services, whether $200 per month Equinox memberships, $159 per month subscriptions to Rent the Runway Unlimited, or $250+ per month subscriptions to Purple Carrot.
This trend is paralleled in the SaaS world, where paid versions of free software cater to power users or prosumers. Though free versions of these products exist, power users chose the paid version for the efficiency and heightened user experience. Compare, for example, YouTubeâs wealth of free video tutorials versus a paid education platform like MasterClass ($90 per class) or Juni Learning ($250/month for private kids coding classes). While YouTube offers a massive amount of high-quality free content, it can be difficult to navigate and personalize. New paid creator platforms are less about mere entertainment or delight, and more about providing a full solution for the userâs desired outcome, including curriculum, accountability, and community.
The monetization strategy for 100 True Fans also differs from the 1,000 True Fans convention. Easy perks like offering users ad-free content and access to back-catalogs can help creators monetize at a lower dollar amount. But to gain fans who are willing to pay $1,000 a yearâno small sumâcreators need to offer a step-function increase in value. The recipe, then, is to go niche and to tap into usersâ desire for results. Practically, what does that look like? It means providing differentiated content, community, accountability, and access.Â
Letâs unpack each:
People are willing to pay high prices for exclusive, differentiated content and access to a network of like-minded individuals. In late 2019, two financial advisors-turned-podcasters launched a private, paid community called Advisor Growth Community (powered by the platform Mighty Networks). The online hub charges financial advisors $2,000 per year to collaborate with colleagues and learn how to grow their practices. It currently has nearly 100 members in its ranks. The career development program Reforge, a masterclass for growth and marketing strategies, charges upwards of $3,000 per seat to hundreds of participants each year.
Frequently, premium content and community are bundled together to enhance the student experience by providing valuable social reinforcement and support.Â
In China, the unicorn audio course platform Dedao sells paid audio courses that appeal to usersâ desire for self-improvement and lifelong learning. The best selling topics include management, study skills, and public speaking. These classes can reach up to 199 RMB (approximately $28 USD)âa meaningful sum in a country where the average income is 21,600 RMB (~$3,100 USD). The most popular course is taught by former Peking University professor Xue Zhaofeng and has over 470,000 subscribers.
While the US podcasting industry is still modestly monetized through advertising, the flourishing ecosystem of paid meditation and audio wellness apps like Headspace, Calm, and Aaptivâall of which charge subscribers directlyâindicate that users are willing to pay for content that tangibly affects their well-being.
The more a student pays up front, the more invested he or she is in achieving the desired outcome. Higher-priced creators donât only offer more or better content, they also motivate and incentivize students to get what they paid for. For instance, the premium version ($699 vs. $499) of productivity expert Tiago Forteâs Teachable class on digital note-taking and productivity includes eight expert interviews, 16 note templates, six advanced tutorials, and access to a members-only blog. Tiago also shares his numbers publicly, reinforcing the perception of accountability.
On Patreon, the comedy podcast This Might Get Weird has $5 per month and $15 per month tiers, both of which afford access to a Discord community and extra content. The creator also offers a limited number of $69 per month ($828 per year) subscriptions, which provides a monthly, 30-minute livestream, among other benefits. But the highest-priced offering is a $500 per month ($6,000 per year) tier, which grants users personal coaching sessions with the podcast hosts, via video chat, every 3 months. The top tier offers a level of exclusivity and access that matches the priceâ100 times more expensive than the base tier.
There are also big, growing businesses in China, such as Bixin, Taobao, and Heizhu Esports (from Netease), in which people pay creators to play video games with them. Some of these users are earning tens of thousands of dollars per month as paid game companions. Beyond purchasing personal recognition from the creator, thereâs also the potential recognition of other fans. In the gaming world, whales often lord their big spending habits over non-spenders, thus providing an aspirational target for everyone else. More broadly, products can be designed in such a way that super-fans receive social affirmation from ânormalâ fans, triggering a positively reinforcing network effect that increases the value of super-fans, beyond the monetary spend.
Twitch streamers can rake in hundreds of thousands of dollars a year from donations and tipsâin one recent case, a streamer received a $75,000 tip. The personalized shoutouts from the streamer, recognition, and elevated social status that such donations afford lead to higher levels of spending. Itâs worth noting that limited access and recognition are unscalable, to some extent: people are, by definition, paying high amounts to gain exclusive access or to elevate their status above other users.
The creator economy is in the midst of a decisive shiftâfrom a âbigger is better,â ad-driven revenue model to one of niche communities and direct user-to-creator payment. An emerging category of digital platforms is helping people to translate their skills and talents into businesses. But as the creator landscape evolves, the playbook needs updating. Click To Tweet
Rather than viewing oneâs fans as a uniform group, the 100 True Fans model calls on creators to distinguish between various subsegments based on affinity and willingness to pay. The relationship super-fans have with creators is different from regular fans: they become disciples, protĂŠgĂŠs, co-learners, and co-creators. As such, they require a whole new set of tools and platforms.
The key to monetizing at $1,000 per fan, per year is tailored offerings priced at tiered levels. A creator might have a broad follower base on free social platforms, convert some of those followers to one-time purchasers or patrons, then uplevel some of those users to high-paying super-fans. For founders and operators, that means building products that align monetization with the end user value.
The 100 True Fans concept isnât for everyone, nor is 1,000 True Fans. Creators that have larger, more diffuse audiences with weaker allegiance or engagement are likely better off monetizing through sponsorships or branded products. For many, that path will be more lucrativeâand require less heavy liftingâthan designing the sort of high-value, personalized program 100 True Fans demand.
As the tech analyst and blogger Ben Thompson once said, âThe internet enables niche in a massively powerful way.â For creators who earn the trust of a niche audience and who deliver what those users craveâwhether self-improvement, connection, recognition, or belongingâ100 True Fans provides an updated monetization model for the fast-growing Passion Economy.
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The views expressed here are those of the individual AH Capital Management, L.L.C. (âa16zâ) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.
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from Andreessen Horowitz https://a16z.com/2020/02/06/100-true-fans/
The Ancient Wisdom Papers (name inspired by the Federalist Papers shortly after seeing the hit Broadway musical Hamilton) is a series of posts I’m writing to make the case that ancient wisdom should be a primary source of advice and counsel as you navigate the tricky, the ambiguous, the painful, and even the happy parts of your life. For my first Paper, I argue that the modern personal development genre has serious flaws that make it unsuitable as a primary source of advice. Subsequent Papers will explore the virtues of ancient wisdom and how you can apply ancient lessons to your own life.
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The first personal development (PD) book I read was after college, soon after I abandoned my goal of becoming a Navy SEAL. The book was Tim Ferriss’ Four Hour Workweek, and it promised that with the right lifestyle design techniques, you could live the dream life you’ve always wanted. This book, released in 2007 right around the start of the Great Recession, became a best-seller and inspired a generation of (mostly) Millennials to figure out how to optimize their life for happiness.
Though Tim Ferriss created this subset of personal development advice, the genre in its modern form likely started in the early 20th century. Dale Carnegie published his book How to Win Friends and Influence People in 1936 and was an immediate best-seller and continues to sell today. The book outlines a number of strategies, techniques, and principals for establishing positive human relationships to achieve success. Napoleon Hill in his book Think and Grow Rich in 1937 advocated adopting correct mental habits and mindsets to achieve business success.
After I read Tim Ferriss’ book I became addicted to the personal development genre. Without any clear career paths or goals, I read the books and blogs of lifestyle design gurus and PD “experts” in order to get the false feeling of making progress. It offered a sense of comfort, knowing that if I just followed their advice, I too could become happier, more successfully, and cooler than my contemporaries who seemed content to work their 9–5 jobs. Indeed, it seemed like every few months I was trying a newly discovered blogger’s advice, thinking that they were smarter than the last guy I read and that this time would be different. “Yes Tim Ferriss was smart about managing productivity but he never did the scientific research on habit forming that Charles Duhigg did so I’m going to focus on a habit-based success system now.” Personal development cycling was a common pattern among the personal development junkies I met. They loved starting new systems but never seemed to see any one system through to actual success.
This isn’t to say that all the advice found in these books and blogs are completely useless. In fact, the reason they are so appealing is some of the content is quite insightful or contrarian. For example, in the Four-Hour Work Week, Tim Ferriss introduces the concept of the 80–20 rule which says that in many situations, 80% of an output can be determined by 20% of the input. 20% of a teacher’s students can be responsible of 80% of the disruption in her class. 80% of a company’s profit is determined by 20% of their products. This concept is quite smart and once you are exposed to it, you start seeing it everywhere and applying it to your life.
But there are serious flaws with the personal development literature that make them harmful to people who are trying to improve themselves. The occasional useful nugget of information does not outweigh the negative impact of the distraction of trying to follow their advice for an extended period of time. Once you understand what these flaws are, you’ll become far more skeptical about the PD industry and learn to (mostly) avoid them.
Note: The PD genre is distinct from other self-help instructional books (say, Computer Programming for Dummies) because their emphasis is disproportionately on the “spiritual” outcome of following their system, a sort of self-actualization. A computer programming book won’t spend an inordinate amount of time telling you about how computer programming will allow you to become your best self and live the life you already dreamed. 95% of the content will be about computer programming. A PD book will spend 95% of the book talking about general principles and how a former lawyer now can live her dream of being a full time surfer in Costa Rica. There is also a subset of PD that tries to draw on scientific research as the backbone of the PD system. While the cited research may be science, the book overall is PD “scientism.” Like porn, the PD system is hard to define but you know it when you see it.
Typically, PD writers begin by telling a story about how they themselves were having problems with money, unhappiness, boredom, etc. Then, something happens and they become inspired to try a new approach that ultimately leads to their form of actualization. They are so pleased with the results that they have decided to share the good word with us in the form of a book or blog or online course. If we do exactly as they did, we too can achieve the same results!
“You are the master of your destiny. You can influence, direct and control your own environment. You can make your life what you want it to be.”
― Napoleon Hill, Think and Grow Rich
While I would never begrudge someone for improving their lives, improving your own life and then turning that into a teachable, (and sellable) universal system requires more rigor. People and their lives are complicated. What works for one may not work for another. In addition, people are notoriously bad at assessing their own path to success. For a long time many PD gurus advocated following your “passion” as a career strategy. By doing so, they suggested that you will become happy, take setbacks gracefully, and probably make a lot of money. However, they only became passionate about their professional lives after they achieved a level of success. That level of success was achieved by hard work and luck. The PD guru glosses over those parts of his or her success system either because he or she honestly can’t remember and their brains have ignored the effort they put in, or because those elements would make their PD system less attractive to customers.
You may object on the grounds that PD books and literature usually include a number of a case studies of others who have followed the PD system and succeeded. Many of these case studies are selected after the fact because they contain elements of the PD system. For example, some say Steve Jobs was successful because of his creativity and design skills, others will say it’s because of his business acumen, and others will say it was because he was uncompromising. All those characteristics mattered but the PDGs will choose the one that fits their PD system, making it appear to the reader that they should prioritize creativity or design or business skills over all else. It’s okay to emphasize certain traits to make a point, but this can be dangerous to you as someone looking to improve their lives.
The personal experiences of a PD guru and the subjects of their case studies, while inspiring and sometimes useful, is still unproven. And like any unproven system, following it is risky. It is okay to take risks with the goal of improving yourself. Indeed, it is a pre-requisite. But, there are ways to take smarter risks that will yield better results.
The PD genre in its modern form seems to have started about 80 years ago. Out of the body of literature, only a handful that were released at that time are still read today. Most of the PD books/blogs read today were only published within the past 20 years and most of those don’t last very long. While there are a few mega-sellers like the 4-Hour Work Week, there are many more books that never sell more than a few copies. As I write this, the NYT best-seller list in the “advice” genre includes such gems as the “The Kim Kardashian Principle,” “How to be a Bawse,” and “You are a Badass: How to Stop Doubting Your Greatness and Start Living an Awesome Life.” I’ll be surprised if those are still selling any significant number of copies next year, let alone in a few hundred years.
Out of the best-sellers in the genre, it is unclear how many of them will have staying power for a significant amount of time. Nassim Taleb in his book Antifragile describes a counter-intuitive phenomenon called the Lindy effect, which states that life expectancy of a non-perishable good (book, technology, etc.) is proportional to their current age. If a book has been in print for 5 years, it will be in print for another 5 years. If it has been in print for 50 years, it will be be in print for another 50 years. What this tells us is that the latest and greatest self-help or PD book/philosophy/blogger has the lowest likelihood of being read in a few years.
So within the PD category, to increase the odds of finding a robust and useful self-improvement system, you should be biased towards the older systems that are still in print. Choose Dale Carnegie over Tim Ferriss.
However, this begs the questions, because the PD genre is fairly new in modern history, why bother spending time with it at all if there are better alternatives?
Most consumers of the PD literature generally don’t know that there is an alternative to the genre, or rather, the alternatives seem unacceptable. There is a PD book for every type of customer (men, women, parents, college students, single people, etc.). You can get a book that gets you. However, you will find higher quality and time-tested insights if you move outside of the category.
There is a reason people still read epics like the Odyssey and the Iliad. They contain important insights about human nature and the different ways people handle unforeseen challenges. There is no self-help system, only observations of human nature that will help you better navigate your own life. We now have books about channeling your ambition and dialing it down to reduce stress levels backed by “sciency” research. While some of the new material and research may be interesting, it is more likely the story of Achilles trying to immortalize himself in history by becoming the fiercest warrior in the world could teach you the same lessons more effectively. You’ll really feel the fire of ambition as you read it and learn the true cost of the pursuit of immortality. The lessons aren’t neatly packed into a 7-step system to create work-life balance, but the story will likely leave a greater impression on you than any PD book.
Let me not then die ingloriously and without a struggle, but let me first do some great thing that shall be told among men hereafter.”
― Homer, The Iliad
Pursue the old and be skeptical of the new.
Most self-help books are incredibly coherent on the surface. Their systems are based on a small number of principles that presumably, if followed, will yield incredible results. In an incredibly complicated world, the PD authors have miraculously found a way to distill the path to success to 180 pages.
Bottom line: If you want to be an entrepreneur, don’t just talk about doing it; do it. If you want more out of this life, fight for it. If you crave freedom and fulfillment, chase after it with your full mind and body. If you yearn to snub the antiquated social norm, get off your ass and make it happen!
-Scott Geber, Never Get a “Real” Job: How to Dump Your Boss, Build a Business and Not Go Broke
This is very suspicious. Of course, all book-writers must simplify and condense where they can. No publisher will put out a 10,000 page self-help book. What is dangerous is that PD writers successfully condensed their book into 180 pages while supposedly not leaving any important information out. Instead of selecting say, a handful of context-specific pieces of advice that will yield specific results, the writers produce a book that they will claim is a “framework for success.” These success frameworks necessarily leave out relevant and nuanced information, but the author won’t tell you this.
Our brains like neat stories. We don’t handle ambiguity very well. Humans have an incredibly ability to stitch details and facts together to produce a story. The downside of this is we are prone to leaving out details and facts that are important and relevant but don’t fit the story.
Here are the principles of a book I just found on Amazon called “Unf*ck Yourself: Get out of your head and into your life” that I pulled from the description on the web page.
In Unfu*k Yourself, Bishop leads you through a series of seven assertions:
I am willing.
I am wired to win.
I got this.
I embrace the uncertainty.
I am not my thoughts; I am what I do.
I am relentless.
I expect nothing and accept everything.Lead the life you were meant to have — Unfu*k Yourself.
You probably don’t even need to read the book if you read the synopsis. The message of the book is that life is uncertain, no one owes you anything, and you need to be resilient in the face of obstacles to get what you want.
This an empowering message and seems nominally true. I expect that by the time you finished the book you will feel temporarily motivated and inspired. What’s harder to detect is what this book is missing. Does it teach you what desires and goals are worth pursuing? Does it discuss when a person should sacrifice his or her own goals for the goals of someone else? Are you always expected to be self-reliant? Are you a failure if you accept someone’s help?
Because self-help books try to be broad in their scope their authors must rely on platitudes and catchy motivational phrases. The simplified systems are pitched as a sort of cure-all to get you out of your rut, whatever the nature of that rut is. But we know first hand that while some problems are simple, many problems are complex and require nuanced solutions and wisdom that only comes from experience. It would be impossible for any single person to address this complexity, so PD gurus will just ignore it. They trade complexity for coherence in order to give many people the feeling they received great wisdom instead of giving a much smaller number of people complex advice that could actually help.
I work in the government consulting/contracting industry and one thing I’ve learned from my few years of experience is that the “advice” consultants tell you will always be what they can sell you, particularly in soft fields like “management consulting” and “organizational development.” There are fads in business literature (a parallel genre to PD) that clients will be happy to pay for (Lean Six Sigma anyone?), so long as they can claim they are using the latest and greatest “best practices.” Consultants will follow the money and happily sell those services. Fortunately for the consultants, these concepts are so devoid of any real intellectual content that they could probably read a few business books over the weekend and be ready to start an engagement by Monday.
Unfortunately for clients, consultants will not tell you what you need to hear when it conflicts with their ability to sell you a service. This is not solely the consultant’s fault. Clients often don’t want to hear what they need to hear. It’s much harder to sell an uncomfortable truth than a feel-good lie.
The same conflict-of-interest exists in the PD industry. The very fact that it is an “industry” reveals the priorities of the authors, motivational speakers, and life coaches: to make money.
Again, this is not to say an advice giver who makes money off of the advice that the advice is bad per se, but rather, if there is ever a conflict between giving good advice and making money, money will win. If the priorities were reversed, I’d expect to see many more PD gurus publishing corrections to their advice fairly periodically, if not giving refunds.
Be wary of anyone who sells advice, especially the kind found in PD books. If there is a conflict between giving advice that sells and giving advice that works, the former will win. People often won’t pay for the advice they need. Compare two hypothetical books. One is titled Think positively for financial success and the other is called Work really hard to achieve financial success. Which book do you think will sell more?
With the Think Positively book, the author might pay tribute to hard work, saying something like “of course you need hard work, but having a positive attitude will make the hard work seem easy.” Then all the case studies of successful people he includes will gloss over those periods in their lives where they had to work hard.
“You’re already a financial trader. You might not think of it in just this way, but if you work for a living, you’re trading your time for money. Frankly, it’s just about the worst trade you can make. Why? You can always get more money, but you can’t get more time.”
– Tony Robbins (Net Worth: $480 Million), MONEY: Master the Game
It’s not that these PD gurus are outright lying to you, but they will exclude information that is inconvenient to their narrative, especially if it hurts the likelihood of people buying their product.
I would also be especially suspicious of PD gurus that were not particularly successful before they the entered the advice industry. If their past life was spent in an office as a middle-manager and all of a sudden they discovered their passion was to “help other achieve their full potential” (for a fee), it’s likely a scam. Give more weight to those authors who were successful in at least one other (real) field and only if they are giving advice related to that field. A successful actor’s book about acting techniques and navigating Hollywood will probably yield useful insights. That same actor’s book about becoming successful in life in general via positive thinking will be less useful.
PD and self-help is attractive because it plays to our desire to be independent, to control our own destiny. Pulling yourself up by your bootstraps is a canonical theme in American culture and speaks to our can-do, meritocratic attitude.
While I love the idea of being independent and making things happen for yourself, the reality is you don’t exist in a vacuum. Certainly you can do many things on your own. Starting a healthy exercise or diet regimen is up to you. Developing certain career skills is within your control. Saying a kind word to your spouse requires only a desire to do so.
But, any significant change will be somewhat dependent on people and circumstances external to you. You can’t give yourself a promotion at work. That requires the support of your boss. You are not the decision-maker. If you want to quit your job to travel the world and are married, you better believe you need to get your husband or wife on board with your plan.
In addition, the overall “self” orientation doesn’t give enough credit to those who help you along your path to improve yourself. If you try to improve some aspect of your life, others will try to support you and you will sometimes need their help. While it’s okay to be proud of you own efforts, cultivating the humility required to recognize and accept help from other is critical to ensuring you don’t get an inaccurate view of your own powers.
That’s when it clicked. When everything changed. When I realized that nobody else was going to do it for me. If I was going to thrive, to survive, I had to choose myself. In every way. The stakes have risen too high not to.
-James Altucher, Choose Yourself
Conversely, your efforts to improve yourself may fail, and PD gurus will almost always blame you for the lack of results even if there are legitimate reasons why, despite your efforts, you did not succeed. This blame game simply doesn’t mesh with the complexity of the interactions between your actions and your environment. Just like your success is never completely due to your own efforts, often, neither are your failures. An infinite number of variables can influence your success or failure in a given endeavor. “Mindset,” a favorite topic of PD gurus, while important, is just one of those variables.
“If you’re the kind of person who has no guts, you just give up every time life pushes you. If you’re that kind of person, you’ll live all your life playing it safe, doing the right things, saving yourself for something that never happens. Then, you die a boring old man.”
― Robert T. Kiyosaki, Rich Dad, Poor Dad
There is a middle ground between empowerment and victimization and the PD genre does not do a good job of helping you find that middle ground.
The primary misconception about PD books is that they are mostly silly, and that the worst case scenario is you’ll waste a few bucks and a few hours reading the book.
While this is true for some, the potential for harm is far greater. If you truly adopt these PD systems, you might
For a more detailed analysis of what is wrong with the PD and self-help industry, read the book SHAM: How the Self-Help Movement Made American Helpless [SHAM stands for Self Help ad Actualization Movement]. It was published in 2005 so does not fully cover the latest generation of the PD literature i.e. lifestyle design bloggers but Steve Salerno does an excellent job of pointing out how predatory, non-sensical, and consequential the industry is.
Failure and stagnation are central to all of SHAM. The self-help guru has a compelling interest in not helping people. Put bluntly, he has a potent incentive to play his most loyal customers for suckers.
-Salerno, Steve, Sham: How the Self-Help Movement Made America Helpless
***
I wrote this piece not because I think all self-help books are completely terrible, I wrote it because most self-help books aren’t obviously terrible. In fact, many have unique insights that confirm what ancient wisdom says. However, this is where the risk lies. The sum of of many partial truths in the PD world can give you a fully inaccurate and harmful view of the world and an incorrect prescription for how to conduct yourself.
There is nothing wrong with wanting to improve your life and there is nothing wrong with seeking out advice that could help you. But there are far better sources for this advice than Tim Ferriss and Tony Robbins. In my next article I will detail criteria that can help you improve your odds of filtering out bad advice.
from The Startup – Medium https://medium.com/swlh/ancient-wisdom-paper-1-the-fundamental-flaws-of-the-personal-development-genre-9e4c3e2742d4?source=rss—-f5af2b715248—4
Don Normanâs design principles are hugely important for any UX designer or ProductâŚ
from UX Collective – Medium https://uxdesign.cc/the-6-design-principles-of-don-norman-6f11c724b787?source=rss—-138adf9c44c—4