
Welcome to TractionCue
Stop treating every uncertainty as a reason to build. Turn it into evidence instead.
Start course →TRACTIONCUE LIBRARY
Choose the decision in front of you. Each course takes 5–12 minutes and saves automatically in this browser.
1 course

Stop treating every uncertainty as a reason to build. Turn it into evidence instead.
Start course →5 courses

Validation starts with access. Map the people you can actually talk to.
Start course →
Good ideas start with problems that happen again and again — not one-off complaints.
Start course →
Your work, hobbies, and frustrations expose problems other builders never notice. Start there.
Start course →
Don't commit early. Compare directions on evidence and pick the one you can learn about fastest.
Start course →
Your first solution will probably change. Make sure the problem still matters when it does.
Start course →3 courses

A product built for everyone fits no one. Name the specific person who feels this problem most.
Start course →
People politely say they would use your product. What they recently did is the only evidence that counts.
Start course →
Write down exactly what could still prove you wrong, then turn it into one small test.
Start course →6 courses

A useful test serves a real choice with a date and a cost of being wrong—not an endless topic to explore.
Start course →
Compliments can suggest a question. Observed behavior and costly commitment provide stronger evidence for a decision.
Start course →
A stage-appropriate sacrifice of time, access, reputation, or money reveals more than another promise to try the product later.
Start course →
Record what happened before explaining why. This preserves evidence that teammates—and your future self—can inspect honestly.
Start course →
A fair test gives the belief a real chance to fail by seeking the person, situation, or behavior that would challenge it.
Start course →
Synthesize repeated situations, behaviors, and consequences while preserving exceptions that may reveal different segments or failure boundaries.
Start course →5 courses

You cannot build the first version for everyone. Start with the people who feel the problem most.
Start course →
A product is a means to an end. Name the change it creates in someone's world.
Start course →
Explain who the app is for and what it helps them achieve, using words they already understand.
Start course →
The same problem can be solved by an app, a service, or a manual workflow. Test the fastest one before committing to code.
Start course →
Every extra feature costs time and hides what you are really testing. Build only what has a clear reason to exist.
Start course →5 courses

One unproven belief could make weeks of coding pointless. Find it before polishing anything.
Start course →
The right test is the smallest one that could change your mind.
Start course →
Use a mockup to test the screen. Do it manually to test whether the result is worth automating.
Start course →
Decide what would convince you before you see results — otherwise you'll rationalize anything.
Start course →
Give someone the mockup or build, then watch where they hesitate without explaining it away.
Start course →6 courses

One loud reaction can inspire a test. It should not quietly become the whole roadmap.
Start course →
Conflicting feedback often describes different situations—not a vote you need to average.
Start course →
A failed test is useful only when you locate which assumption actually failed.
Start course →
Persistence is useful when evidence improves. Repetition without learning is only expensive.
Start course →
An iteration should change because of evidence—not merely because another version is due.
Start course →
Rejecting a direction is not rejecting the builder who explored it.
Start course →4 courses

Ready means the core promise works safely enough for the intended test—not that the product has nothing left to improve.
Start course →
A launch learns faster when a small relevant group already knows why the product exists and agrees to try it.
Start course →
A store page is a promise in sequence: recognizable problem, desired outcome, believable proof, then supporting features.
Start course →
A quiet launch says distribution was weak; it does not yet explain whether the product, message, audience, or channel is wrong.
Start course →5 courses

A like costs nothing. A signup, reply, test, or payment tells you someone cares enough to act.
Start course →
Your feature names explain the app. Your users' words explain why anyone should care.
Start course →
Do not post everywhere. Find one place where the right people already talk and start there.
Start course →
The first ten users come from conversations, not campaigns.
Start course →
Share something that can teach you what people care about—not just prove that you are busy building.
Start course →4 courses

Useful analytics begin with the behavior that means a user reached value, then capture only the steps needed to explain it.
Start course →
Small samples cannot support precise population claims, but repeated failures, complete user timelines, and strong commitments can still guide the next test.
Start course →
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.
Start course →
A metric change points to a question. It becomes useful only after you write an explanation the next evidence could prove wrong.
Start course →4 courses

Early growth usually comes from repeating a small relevant channel until its message, audience, and conversion are understood.
Start course →
Distribution compounds when the content solves a known problem and a trusted partner already has the relevant audience.
Start course →
A healthy growth loop makes sharing part of receiving or extending value; a referral is useful to the sender and recipient.
Start course →
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 →4 courses

The payment model should match how value and costs recur: ongoing value supports subscription; durable one-off value may fit a one-time purchase.
Start course →
Free should reveal the value; paid packaging should expand the recurring outcome, usage, collaboration, or economic benefit customers care about.
Start course →
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.
Start course →
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 →5 courses

Signup is not success. Find the first moment a new user gets something useful from your product.
Start course →
A subscription needs a reason to matter again next week or next month. Features alone are not that reason.
Start course →
People who stop using the app are showing you where the product stopped being worth the effort.
Start course →
People who stayed know what is useful. People who left know where the experience disappointed them.
Start course →
Fix the problem that stops users getting what they came for—not the feature request making the most noise.
Start course →5 courses

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.
Start course →
Permission makes sense when users can see the immediate benefit; deletion should be findable, complete, and clear about what happens to associated data.
Start course →
Consent, purchase, renewal, and cancellation should remain understandable and voluntary—even when a more forceful design converts better.
Start course →
Code, fonts, images, names, training data, and customer content can carry different permissions. Keep a simple source-and-permission record before release.
Start course →
Store readiness is product readiness: metadata, policies, permissions, purchases, reviewer access, safety, and support must match what the binary actually does.
Start course →4 courses

Support is a stream of product evidence when reports preserve user context, expected behavior, actual behavior, severity, frequency, and workaround.
Start course →
Urgency follows user harm, scope, reversibility, and time sensitivity; incident communication should state known impact, immediate protection, and the next update without inventing certainty.
Start course →
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.
Start course →
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 →2 courses

Learn the few RevenueCat pieces that make buying, unlocking Pro, and restoring purchases work reliably.
Start course →
A successful purchase is only the first state. Verify launch, restore, expiry, billing problems, cancellation, account changes, and interrupted flows.
Start course →