Vibe Coding · Aula

Validando com usuários reais

Publique, meça e aprenda.

Validando com usuários reais é uma aula grátis de Vibe Coding no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de Vibe Coding, e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de Vibe Coding inclui 4 aulas no total.

Partes desta aula ainda não foram traduzidas e aparecem em inglês.

Build, Then Find Out

You shipped an MVP. Now the real question: does anyone want it? Building is the easy part — validation is what separates a hobby from a product.

Validation means putting your app in front of real people and watching what they actually do, not what they politely say. In this lesson you'll learn to ship, measure and learn — and to use AI to set up the feedback loop fast.

Talk Is Cheap, Behavior Isn't

People are nice. Ask "would you use this?" and they'll say yes to spare your feelings. That's why behavior beats opinions.

Better signals: Did they sign up? Come back the next day? Click the upgrade button? Share the link? These actions cost the user something, so they're honest.

Design your validation around what users do, not what they say. Build the measurement in from the start.

Pick Your One Metric

Don't drown in dashboards. For an MVP, choose one metric that proves the core value. It's usually about whether people come back, not just visit once.

Examples: "% of signups who create a second note," "users who return on day 2," "clicks on the upgrade button." Let AI help you find the metric that maps to your specific product.

My MVP is a meal-planning web app. The core value is that people plan their week and stick to it.

Help me pick ONE primary validation metric:
- Suggest 3 candidate metrics tied to real value (not vanity metrics)
- Recommend the single best one for an early MVP
- Tell me what number would signal 'this is working'

Explain why behavior beats survey answers here.

Avoid Vanity Metrics

Some numbers feel great but mean nothing. Vanity metrics — total page views, social likes, signups that never return — flatter your ego without proving value.

The antidote is actionable metrics: ones that change a decision. "Day-2 retention is 5%" tells you the product isn't sticky and you should fix the core loop. "We got 1,000 views" tells you nothing actionable.

Always ask: if this number doubled, would I do anything differently?

Add Lightweight Analytics

You can't measure what you don't track. Add a simple analytics tool — Plausible, PostHog or even a few custom events — so you can see what users do.

Ask AI to wire it in. Keep it minimal: track the few events that matter to your one metric.

Add lightweight analytics to my single-page meal-planning app.

- Use a privacy-friendly tool (suggest one that's free to start)
- Track exactly 3 events: 'signup', 'plan_created', 'returned_next_day'
- Show me where to add each tracking call in the code
- Keep it simple — no heavy SDK if a script tag will do

Track an Event in Code

Under the hood, an analytics "event" is just a small function call when something meaningful happens. Here's a tiny home-grown tracker so you understand what tools do for you.

In a real app, track would send to PostHog or Plausible instead of logging.

const events = [];

function track(name, props = {}) {
  events.push({ name, props, at: Date.now() });
  console.log('tracked:', name, props);
}

// When a user does something meaningful, fire an event:
track('signup', { plan: 'free' });
track('plan_created', { meals: 7 });

console.log('Total events captured:', events.length);

Get the First 10 Users

Validation needs people. Your first 10 users won't come from ads — they come from you reaching out. Friends, relevant subreddits, Discord servers, indie-hacker communities, Twitter/X.

Don't spam. Share the genuine story: "I built this to solve X, would love your honest take." Ten engaged users teach you more than a thousand passive visitors.

Help me find my first 10 users for a meal-planning MVP.

- List 5 specific places online where my target users hang out
- Write a short, honest message I can post (not spammy) asking for feedback
- Suggest one question to ask each user that reveals whether they'd actually use it

Tone: humble indie maker, not marketer.

Watch, Don't Just Survey

The richest feedback comes from watching someone use your app. Hop on a call, share screens, and stay quiet. Where do they hesitate? What do they click that you didn't expect? Where do they give up?

Five user sessions will surface most of your usability problems. Surveys tell you opinions; watching tells you the truth. Take notes, then ask AI to help you spot patterns across sessions.

Turn Feedback into Decisions

Feedback is noisy. The skill is turning it into one clear next change, not fifty. Dump your notes and metrics into AI and ask it to find the signal.

Look for repeated complaints and points where users drop off — those are gold.

Here are notes from 5 user sessions and my analytics (paste them below).

[notes + metrics]

Act as a product analyst:
1. Find the 3 most common problems across users.
2. Tell me which ONE to fix first to improve my retention metric.
3. Flag any feature requests I should IGNORE for now and why.
4. Suggest the smallest change that could move the needle.

Persevere or Pivot

After a round of validation, you face a decision: persevere (the core idea works, keep improving) or pivot (the idea isn't landing, change direction).

Signs to persevere: people return, some get genuinely excited, your metric is climbing. Signs to pivot: nobody comes back, you have to beg for usage, the value never clicks.

Pivoting isn't failure — it's using what you learned to find a better idea faster. Your code and AI workflow carry over.

The Validation Loop

Validation is a cycle you repeat:

Ship a small version.
Measure one honest behavior metric.
Learn by watching real users.
Decide the single next change.
Repeat.

Each loop should take days, not months. With AI handling the build and analysis, you can spin this wheel fast — and fast learning is how indie products win.

Quick Check

Which is the most trustworthy signal that your MVP is working?

Recap: Ship, Measure, Learn

You learned to validate an MVP with real users:

Trust behavior, not opinions or vanity metrics.
Pick one actionable metric tied to real value.
Add lightweight analytics and track key events.
Get your first 10 users by reaching out genuinely.
Watch people use it, then turn feedback into one clear decision.
Persevere or pivot based on the evidence.

Once an idea is validated, it's time to charge for it. Next: adding payments.

Perguntas Frequentes

A aula “Validando com usuários reais” é grátis?

Sim — o texto completo de “Validando com usuários reais” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de Vibe Coding, atualize para CoddyKit PRO. O curso de Vibe Coding inclui 4 aulas no total.

O que vou aprender em “Validando com usuários reais”?

Publique, meça e aprenda. Você pratica Vibe Coding com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar Vibe Coding?

Nenhuma experiência prévia é necessária. Vibe Coding no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.

Quanto tempo leva a aula “Validando com usuários reais”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de Vibe Coding?

Sim. Cada aula de Vibe Coding inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.

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