How to Create an Experiment Tracker in Notion

Create a full-page Notion database called Experiment Tracker. Add these properties: Experiment Name (title), Hypothesis (text), Status (select: Proposed, Designing, Running, Analyzing, Decided), Outcome (select: Winner, Loser, Inconclusive, Cancelled), Owner (person), Start Date and End Date (dates), Metric (text — the primary metric being measured), Feature Area (multi-select), and Confidence Level (number — statistical significance %). These properties enable filtering and reporting without opening each entry.

• Create the database with all core properties
• Set default values: Status as Proposed, Outcome as empty
• Make Hypothesis and Metric required fields

Create a database template that structures each experiment page consistently. Include sections for: Hypothesis (in 'If we [change], then [metric] will [direction] because [reason]' format), Background (why we are running this, what data prompted it), Methodology (what we are testing, control vs variant, sample size, duration), Success Criteria (minimum detectable effect, target significance level), Results (quantitative data and charts), Decision (what we decided and why), and Follow-ups (next experiments or actions). This template prevents the common failure of experiments that run without clear success criteria.

• Create template with structured sections for the full experiment lifecycle
• Add the hypothesis format as pre-filled text to guide authors
• Include a decision log section for capturing what was decided and why

Create views that match how different people interact with experiments. A 'Pipeline' board view groups by Status so you can see experiments flowing from Proposed through to Decided. A 'Results Archive' table view filters to Status: Decided, sorted by End Date, for looking up past results. A 'My Experiments' filtered view shows each person their own experiments. A 'By Feature Area' view groups experiments by Feature Area for retrospectives on what has been tried in each part of the product.

• Create Pipeline board view grouped by Status
• Create Results Archive table filtered to decided experiments
• Create My Experiments filtered view using the Owner property
• Create By Feature Area grouped view for retrospectives

Define how experiments move through the pipeline. Proposed experiments need a filled-out hypothesis and methodology section before moving to Designing. During a weekly experiment review meeting, the team reviews Proposed experiments and either approves them (moves to Designing), requests changes, or rejects with documented reasoning. The review prevents duplicate experiments and ensures sample sizes are adequate. Use Notion comments for review feedback directly on the experiment page.

• Define criteria for each status transition
• Schedule a weekly experiment review meeting
• Use Notion comments for structured review feedback

When an experiment concludes, paste the results into the Results section with screenshots from your analytics tool (Amplitude, Mixpanel, or your experimentation platform). Include the quantitative data: variant performance, confidence interval, sample size achieved, and p-value. Below the data, write a narrative interpretation: what the numbers mean in product terms, not just statistical terms. Update the Outcome property and the Confidence Level number field.

• Paste quantitative results with screenshots from your analytics tool
• Write a narrative interpretation of what the results mean for the product
• Update Status to Decided and set the Outcome property

Create a related database called Experiment Learnings with a relation property linking back to the Experiment Tracker. Each learning is a standalone insight extracted from one or more experiments: 'Users respond more to social proof than feature descriptions in onboarding' or 'Reducing form fields below 4 has diminishing returns on conversion.' Over time, this learnings database becomes the most valuable artifact because it is queryable institutional knowledge, not locked inside individual experiment pages.