Ever been asked which design is better 🔎?

Me too! Design Predictor helps you turn early feedback into real confidence — fast. It uses Bayesian magic (aka stats that vibe with uncertainty) to help you spot winning designs before running a full A/B test. Think of it as your shortcut to smarter, faster design decisions — so you can test more, gain confidence, and launch with certainty.

Enter your data here! 💡

Variant Estimated Conversion 💡 CI LowerCI Upper
D1 -- -- --
D2 -- -- --
Interpretation D1 D2
Is one design better than the other? 💡 -- --
Can I trust my data? 💡 --
Behavior shift detected? 💡 --
Recommendation 💡 --
P-Value (iykyk...) ▸
📊 How we interpret H + Confidence
Effect Size (h) Confidence (↑) Recommendation
High (≥ 0.5)80–100%🚀 Launch it
High (≥ 0.5)Below 80%🤔 Retest it
Medium (0.2–0.5)80–100%✅ Worth rolling out
Medium (0.2–0.5)Below 80%🔁 Try again
Low (< 0.2)80–100%🪄 Small but reliable
Low (< 0.2)Below 80%💤 No signal

Wondering how users *feel* 💬?

We analyze each comment using a natural language model that scores how positive, neutral, or negative it sounds. You’ll get a quick-glance view of overall mood, plus a breakdown of how each quote lands emotionally. It’s like a mood ring for your feedback — but smarter.

How are users feeling? 💡

# Score Interpretation
-- -- --