Welcome to TractionCue
Stop treating every uncertainty as a reason to build. Turn it into evidence instead.
Start course →68 FREE INTERACTIVE COURSES
Stop shipping blindly.
Build less of what people ignore. Read the signals, make the call, and find your next product move—in minutes.
✓Choose one real decision. Leave with one move you can use today.
TRACTIONCUE LIBRARY
Choose the decision in front of you.
All 68 courses are free. Start anywhere and leave with one move you can apply right away.
00
Getting Started
1 course
10
Find something worth building
5 courses
Start with people you can actually talk to
Validation starts with access. Map the people you can actually talk to.
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Find a problem worth fixing
Good ideas start with problems that happen again and again — not one-off complaints.
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Build from what you know firsthand
Your work, hobbies, and frustrations expose problems other builders never notice. Start there.
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Pick the idea you can learn about fastest
Don't commit early. Compare directions on evidence and pick the one you can learn about fastest.
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Don't fall in love with the first solution
Your first solution will probably change. Make sure the problem still matters when it does.
Start course →20
Check the problem before building
3 courses
Decide who should try it first
A product built for everyone fits no one. Name the specific person who feels this problem most.
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Ask what they did, not what they think
People politely say they would use your product. What they recently did is the only evidence that counts.
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Know what you still need to prove
Write down exactly what could still prove you wrong, then turn it into one small test.
Start course →25
Make sense of what you learn
6 courses
Anchor the decision before researching
A useful test serves a real choice with a date and a cost of being wrong—not an endless topic to explore.
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Climb from opinions to commitment
Compliments can suggest a question. Observed behavior and costly commitment provide stronger evidence for a decision.
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Ask for commitment before overbuilding
A stage-appropriate sacrifice of time, access, reputation, or money reveals more than another promise to try the product later.
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Keep observation separate from interpretation
Record what happened before explaining why. This preserves evidence that teammates—and your future self—can inspect honestly.
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Design the test that could prove you wrong
A fair test gives the belief a real chance to fail by seeking the person, situation, or behavior that would challenge it.
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Find patterns without flattening people
Synthesize repeated situations, behaviors, and consequences while preserving exceptions that may reveal different segments or failure boundaries.
Start course →30
Shape what to build
5 courses
Pick one kind of user to build for first
You cannot build the first version for everyone. Start with the people who feel the problem most.
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Decide what should change for the user
A product is a means to an end. Name the change it creates in someone's world.
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Say why someone should choose your app
Explain who the app is for and what it helps them achieve, using words they already understand.
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Compare ways to solve the same problem
The same problem can be solved by an app, a service, or a manual workflow. Test the fastest one before committing to code.
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Park features that have not earned their place
Every extra feature costs time and hides what you are really testing. Build only what has a clear reason to exist.
Start course →40
Test before polishing
5 courses
Find what could make this idea fail
One unproven belief could make weeks of coding pointless. Find it before polishing anything.
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Run the smallest test that could stop you
The right test is the smallest one that could change your mind.
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Test a mockup—or do it manually first?
Use a mockup to test the screen. Do it manually to test whether the result is worth automating.
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Decide what result counts before testing
Decide what would convince you before you see results — otherwise you'll rationalize anything.
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Watch someone try it without helping
Give someone the mockup or build, then watch where they hesitate without explaining it away.
Start course →50
Decide what happens next
6 courses
Is this a real signal—or just one opinion?
One loud reaction can inspire a test. It should not quietly become the whole roadmap.
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What to do when users disagree
Conflicting feedback often describes different situations—not a vote you need to average.
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Is the problem, audience, or solution wrong?
A failed test is useful only when you locate which assumption actually failed.
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Keep going, change direction, or stop?
Persistence is useful when evidence improves. Repetition without learning is only expensive.
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Turn what you learned into the next iteration
An iteration should change because of evidence—not merely because another version is due.
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Your idea is not your identity
Rejecting a direction is not rejecting the builder who explored it.
Start course →60
Launch without guessing
4 courses
Know when your app is ready enough
Ready means the core promise works safely enough for the intended test—not that the product has nothing left to improve.
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Find your first people before release day
A launch learns faster when a small relevant group already knows why the product exists and agrees to try it.
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Make the store page explain the value in five seconds
A store page is a promise in sequence: recognizable problem, desired outcome, believable proof, then supporting features.
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What to do when launch day is quiet
A quiet launch says distribution was weak; it does not yet explain whether the product, message, audience, or channel is wrong.
Start course →70
Help the right people find it
5 courses
Likes don't mean people want your app
A like costs nothing. A signup, reply, test, or payment tells you someone cares enough to act.
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Use the words your users already use
Your feature names explain the app. Your users' words explain why anyone should care.
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Find where your first users already hang out
Do not post everywhere. Find one place where the right people already talk and start there.
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Get your first ten users one by one
The first ten users come from conversations, not campaigns.
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Make build-in-public useful, not performative
Share something that can teach you what people care about—not just prove that you are busy building.
Start course →80
Know what the numbers mean
4 courses
Track decisions, not every tap
Useful analytics begin with the behavior that means a user reached value, then capture only the steps needed to explain it.
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Small numbers can still teach you something
Small samples cannot support precise population claims, but repeated failures, complete user timelines, and strong commitments can still guide the next test.
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See where people leave—and whether it gets better
Follow people step by step to see where behavior stops, then compare groups who started under different conditions to see whether the product is improving.
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Turn analytics into your next Cue
A metric change points to a question. It becomes useful only after you write an explanation the next evidence could prove wrong.
Start course →90
Find repeatable growth
4 courses
Get your first 100 users without going viral
Early growth usually comes from repeating a small relevant channel until its message, audience, and conversion are understood.
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Use content, communities, and partnerships that already fit
Distribution compounds when the content solves a known problem and a trusted partner already has the relevant audience.
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Make sharing part of the product—not spam
A healthy growth loop makes sharing part of receiving or extending value; a referral is useful to the sender and recipient.
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Know when ads—and bringing people back—are worth it
Paid ads amplify the customer value and sign-up path you already have; bringing people back works when a relevant reason to return exists now.
Start course →100
Turn value into revenue
4 courses
Subscription, one-time purchase, or paid app?
The payment model should match how value and costs recur: ongoing value supports subscription; durable one-off value may fit a one-time purchase.
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Choose what belongs in Free and Pro—and what to charge
Free should reveal the value; paid packaging should expand the recurring outcome, usage, collaboration, or economic benefit customers care about.
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Design the paywall, trial, and annual plan as one promise
A paywall explains the valued outcome, a trial gives enough time to experience it, and an annual plan fits users confident the need will continue.
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Make the price survive AI costs—and learn from cancellation
Sustainable pricing accounts for variable usage and margin; cancellation evidence should separate price, missing value, timing, and product failure before choosing an offer.
Start course →110
Give people a reason to return
5 courses
Get users to the “oh, this is useful” moment
Signup is not success. Find the first moment a new user gets something useful from your product.
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Why should anyone keep using—or paying for—this?
A subscription needs a reason to matter again next week or next month. Features alone are not that reason.
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Find where users give up
People who stop using the app are showing you where the product stopped being worth the effort.
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Ask why they stayed—or left
People who stayed know what is useful. People who left know where the experience disappointed them.
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Fix what stops people coming back
Fix the problem that stops users getting what they came for—not the feature request making the most noise.
Start course →120
Build trust into the product
5 courses
Know what data your app—and every SDK—collects
Your data story includes every first-party flow and third-party SDK: what leaves the device, why, where it goes, how long it stays, and who can link it to a person.
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Ask for permission at the right moment—and let users leave
Permission makes sense when users can see the immediate benefit; deletion should be findable, complete, and clear about what happens to associated data.
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Let users choose without manipulation
Consent, purchase, renewal, and cancellation should remain understandable and voluntary—even when a more forceful design converts better.
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Know what you have the right to ship
Code, fonts, images, names, training data, and customer content can carry different permissions. Keep a simple source-and-permission record before release.
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Run the trust checklist before store review
Store readiness is product readiness: metadata, policies, permissions, purchases, reviewer access, safety, and support must match what the binary actually does.
Start course →130
Keep the product healthy
4 courses
Turn support and bug reports into evidence
Support is a stream of product evidence when reports preserve user context, expected behavior, actual behavior, severity, frequency, and workaround.
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Decide what is urgent—and communicate failures honestly
Urgency follows user harm, scope, reversibility, and time sensitivity; incident communication should state known impact, immediate protection, and the next update without inventing certainty.
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Protect trust when AI and old code fail
Reliability work becomes product work when failure harms decisions, trust, support load, cost, or the core value path; AI additionally needs visible uncertainty and recoverable human control.
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Sunset a feature—or an app—responsibly
A responsible sunset understands dependency, gives proportionate notice, offers export or migration where possible, and explains what support and data access will end.
Start course →140
RevenueCat
2 courses
Make subscriptions unlock the right features
Learn the few RevenueCat pieces that make buying, unlocking Pro, and restoring purchases work reliably.
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Test subscription access through its full lifecycle
A successful purchase is only the first state. Verify launch, restore, expiry, billing problems, cancellation, account changes, and interrupted flows.
Start course →HOW YOU LEARN
Courses that ask you to think, not just read.
See the situation
Start with a short story about a decision a real builder might face.
Make the call
Judge the evidence yourself before seeing TractionCue’s explanation.
Apply it
Answer one question that connects the lesson to what you are building.
68 COURSES · FREE