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We made a breakdown of what makes a strong game hypothesis and how to form them effective:
• 💬 Player feedback – reveals real pain points
• 📊 Analytics – uncovers hidden trends
• 🏆 Competitors – offer proven strategies
• 🔍 Market research – predicts player expectations
• 🧠 Team expertise – leverages internal knowledge
1. 🔎 Clarity – clearly state the expected outcome
2. 🧱 Supportive premises – back it with multiple reasons
3. 📏 Measurable – define success metrics
4. 🛠 Actionable – ensure it leads to real changes
• 🧩 Low tutorial completion? → Simplify the tutorial
• 📉 High early churn? → Tweak early-stage difficulty
• 📈 Players max out content? → Add more end-game events
• 💰 Currency overflow? → Add new currency sinks and time-limited offers
• 🔄 Combine feedback and data
• 🚨 Focus on major player pain points
• 🧪 Refine based on test results
❌ One-off guesses without support
❌ Vague or missing success criteria
❌ Ignoring player voices
A strong hypothesis predicts how a change will affect your game’s performance.
Without it, you’re just guessing.
How do you build and test your hypotheses? 👇
Struggling with coming up with the right hypotheses?
Keewano’s AI Analytics Agents pinpoint the metrics that matter
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