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How does behavior change happen

This essay is part of the series in which I talk about my learnings and insights building a habit coaching app (Nintee) in 2024. It didn’t ultimately work out because an app has marginal influence in a human’s life (v/s that of friends, family, culture and immediate environment). Most apps that work in the category operate like gyms (charge upfront when the motivation is high, and be okay with high churn). I had raised VC funding for it and later it became clear to me that this wouldn’t be a VC scale business, so I shut it down and returned the remaining funding. Hope the insights learned along the way would turn out to be valuable to others.

This series comprises of the following essays:

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Behavior change is very hard. People know what is good for them, they’re motivated to do those things, and yet aren’t able to get things done. Why?

Nudging for behavior change

For any change to happen in humans, two forces help:

For a behavior to get built into a habit, we also need:

But notice that motivation doesn’t remain the same every day

via UI-patterns.com

We can utilize these levers we have for changing behavior and then pushing that behavior change into a habit:

Let’s look at each of these levers separately.

Increasing motivation to start

There’s not a lot we can do about this lever. Nintee’s approach at that time for motivating people was through challenges (such as committing to 30 day push up challenge). They (sort of) work because there’s a clear end goal that’s slightly outside of comfort zone. The game-like clear goal then becomes motivating.

However, the analogy with a game goes only so far – games require relatively less effort but give frequent feedback. Challenges like we had were by definition hard to do naturally (for a person).

Multiple levels of challenges

Our hypothesis was that multiple levels of challenges would help, just like good games have multiple layers. Example:

Reducing friction

People come across so many tweets and videos that tell them to lift weights, eat no sugar, etc. And yet, they don’t do that because of the big gap from existing life/habits and new ones is big. 

For example, imagine kinds of things a person will have to change in order to not have sugar:

Practically speaking, giving up on sugar is impossible. So, for all intents and purposes, we end up suggesting to someone in our app that they should “give up sugar”, we should treat it as equivalent to reading a tweet (and hence assume such behavior change is not going to happen.)

What we should do instead is ask them to make a tiny change, which is easy to perform, and then give them hope that we will build upon this tiny thing over time.

In our MVP (which as AI driven habit coach on Discord), we missed the mark on two fronts:

Hence, for suggested new behaviors, we had decided:

Triggering reminders in the right context

The more the intentional new activity that we want the user to take, the more we need to remind them. These reminders have to be varied (so people don’t get bored) and contextual to what new activity we want them to be reminded of. 

For example, if the challenge is to carry a book at work. Then we should know the time the user leaves for work, and trigger a reminder 1 hour before (on the likes of: “Which book are you planning to carry today?”). And then we should remind them to check in 1 hour later, if they haven’t.

Important nuance: trigger to help someone NOT do something (like not have coffee) is very different from trigger to do something (like start doing push-ups)

Motivation for repetitions

The more they repeat a behavior, the more likely such behaviors end up becoming habits.

We motivate people to repeat via the following ways:

Wishlist of Features in Nintee

Based on all of the above, we could imagine Nintee to help with a continuum of behaviors.

Persona JTBD

Pitch (how Nintee helps)

Consistent
Behaviors that the user is already more or less consistently doing

Don’t fall out of consistency (streaks)
Master / go deeper into the activity (increasing difficulty)
Learn from other people doing similar activities (feed)
Deepen your understanding of the domain (learning via bot or separate tab)
Maintain a historical log of your data and reflections (checkins)

Want consistency
Behaviors that the user is struggling or has struggled to do consistently

Challenge yourself to beat a goal (the concept of challenges) and get inspired by people doing similar challenges
Remain motivated by learning how a behavior will help you progress towards your life’s goals (learning chatbot)
Get positive reinforcement
Reduce friction in the behavior you’re trying to inculcate, atomic habits style (personalized challenge suggestion that aims at consistency first, intensity later)
Increase chances of not giving up by learning how to avoid your specific barriers
Get motivating reminders at the right time to help you with extra push (reminders)
Build consistency by counting streaks of repetition
Reduce difficulty level when becoming inconsistent

Untried
These are behaviors that are entirely new (user has never tried before) – the hardest one to inculcate for anyone (let alone an app)

Learn how the new behavior can help with life’s goals (learning tab and/or chatbot) – ideally, we need citations/references or trust, as this info is easily available with a tweet, but often not enough to motivate people to try
Get inspired by seeing people talking / sharing about a behavior (community/feed)
See the simplest behavior you can perform and how it can compound to the new one (the plan, habit stacking – not doing)

Eventually, we needed to target all 3 JTBD (consistent, want consistency, untried) but to start off with, we focused on “want consistency” JTBD as that’s where the most customer pain lies (others are sort of vitamins/good to have).


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Study Notes
TL;DR

The article analyzes the difficulty of human behavior change and habit formation, drawing insights from the author's experience building a habit coaching app. It posits that effective change hinges on increasing motivation and significantly reducing friction, alongside proper context and repetition. The core argument emphasizes that suggesting tiny, achievable actions and illustrating their compounding effect is crucial for sustainable progress.

Key Takeaways
  • Human behavior change is challenging because people often know what's beneficial but struggle to execute due to insufficient motivation or excessive friction.
  • Successful interventions must leverage 'Gas' (motivation) and 'Brake' (friction) by suggesting extremely tiny changes, providing contextual reminders, and reinforcing repetitions through streaks and positive feedback.
  • Apps designed for habit building frequently fail by proposing overly ambitious changes or by neglecting to educate users on how small, consistent efforts compound into significant long-term achievements.
When to Use

This idea applies best when designing products, coaching strategies, or personal development plans aimed at fostering new behaviors or breaking existing habits through incremental changes.

Common Mistake

This idea fails when attempting to induce significant, immediate behavioral shifts, or when not clearly demonstrating how small, consistent actions accumulate into substantial long-term results.

Related Concepts
Fogg Behavior Model Atomic Habits Compounding Streaks