PO Toolkit · Tool #12 of 12
De-risk your feature
before building it
Describe your feature hypothesis. Get the 4 riskiest assumptions ranked by impact, a minimum experiment for each, and a clear kill criteria — in seconds.
No login · Groq + GPT-OSS 120B · Free forever
How it works
From hypothesis to validated experiments in minutes
Define your feature hypothesis
Write what you believe, for whom, and what outcome you expect. The more specific, the sharper the assumptions.
Get 4 ranked assumptions
GPT-OSS 120B identifies the 4 assumptions that must be true for your feature to succeed, ranked from most critical to least.
Run the riskiest experiment first
Each assumption gets a minimum experiment, a success criteria, and a time estimate. The tool tells you where to start.
Roadmap
What's coming next
Canvas management
Save canvases
PlannedSave multiple validation canvases locally and access them across sessions without losing context.
Canvas comparison
ConsideringCompare two features side by side to decide which one to validate first based on risk and effort.
Status tracking
PlannedMark each assumption as "validating", "validated", or "invalidated" and track progress over time.
Experiments
Interview script generator
PlannedFor assumptions validated via user interviews, generate a ready-to-use discussion guide.
Survey builder
PlannedFor survey-based validation, generate the exact questions and answer scales.
Results logger
ConsideringRecord experiment outcomes directly in the canvas and get an updated risk assessment.
Integration
Link to Hypothesis Validator
PlannedIf the experiment requires an A/B test, link directly to the Hypothesis Validator tool with context pre-filled.
Notion export
ConsideringPush the full canvas to a Notion page with one click, formatted as a proper product doc.
PRD link
PlannedOnce validated, generate a PRD draft pre-filled with the validated hypothesis and metrics.
Why I built this
Problem
Most features get built on untested assumptions. Teams spend 6 weeks engineering something only to discover in launch that the core premise was wrong.
Solution
A RAT generator that surfaces the riskiest assumptions, pairs each with the minimum experiment to test it, and gives you a clear kill criteria before you write a line of code.
Impact
Teams that validate before building ship fewer wrong features — and the ones they do ship have a much higher success rate because the bets are already de-risked.
Next step in the PO Toolkit
Once you identify an assumption to validate with an A/B test, use the Hypothesis Validator to check if the results are statistically significant.
Hypothesis Validator →