What is Hypothesis?
Hypothesis is where Fibr starts turning raw data into action.
It identifies what’s working, what’s not, and what changes are most likely to drive improvement, automatically.
Instead of starting with assumptions, Hypothesis gives you a ranked list of data-backed ideas, each one tied to a page, audience, and measurable outcome.
Why It Matters
Teams spend more time deciding what to test than actually testing. Fibr eliminates this gap by continuously analyzing behavior, traffic, and ad context to generate ready-to-test hypotheses.
Each hypothesis gives you answers three questions:
What’s underperforming?
Why might this be happening?
What can you change to fix it?
Data Inputs & Signals
Fibr uses multiple layers of data to generate meaningful hypotheses:
GA4 / Analytics
Session data, bounce rates, goals
Detect anomalies & trend shifts
Ad Platforms (Meta, Google)
Campaign, adgroup, creative data
Match ad → landing performance
On-page Behavior
Scrolls, clicks, heatmap data
Surface UI/UX issues
Fibr Pulse Insights
Conversion trends & drop-offs
Feed continuous feedback loop
💡 Tips from the Fibr Team
Treat hypothesis as a conversation starter, not a final answer. Refine it before testing.
Connect Google Analytics (GA4) data to get more precise and higher-confidence ideas.
Focus on top 3–5 hypotheses; too many dilute test significance.
Fibr’s Hypothesis engine gives you data-led ideas you can act on immediately, reducing time-to-experiment and increasing test success rates.
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