This A/B testing log centralizes every experiment, hypothesis, and conversion metric in one place. It keeps your growth team aligned on what's working without digging through scattered files.
The template links your running Experiments directly to their specific Variants and the Users managing them. Rollups and formulas automatically calculate total visitors and conversion rates across the board.
Built-in AI fields instantly generate executive summaries of your concluded tests and auto-categorize variant changes like UI/UX or Copywriting.
Tracking ongoing experiments and multiple variants in spreadsheets usually leads to endless rows, mixed metrics, and broken VLOOKUPs.
In a database, your data has strict rules so dates stay as dates and numbers don't break your formulas. You can link multiple variants to a single experiment without copying and pasting the same hypothesis across fifty repetitive rows.
Everything stays clean, scalable, and impossible to accidentally delete. This is exactly what Softr Databases are designed for.
Instantly group all experiment variations, screenshots, and conversion metrics under their parent hypothesis.
You can leverage Database AI agents to automatically summarize test conclusions and categorize variant types the second a record is updated.
Start making data-driven decisions immediately with a reliable, ready-to-use foundation.
Manage team members responsible for designing and analyzing A/B tests
Track test pipelines with AI-powered summaries of hypotheses and results
Compare test variations using AI to categorize changes and track metrics
This template is built for teams that rely on structured experimentation to drive growth without getting slowed down by messy data.
1. Customize the database
You can easily tweak this template to fit your exact testing framework. Rename fields, add new select options to the Change Category, or adjust the AI prompt to summarize results differently.
2. Import your existing data
Bring your historical experiments out of your messy spreadsheets instantly. Upload your existing test logs via CSV bulk import or connect your tracking stack automatically via API.
3. Build a full app around it
When your team grows, you don't have to stay confined to the backend. You can use an interface builder on top of this data to create a dedicated testing portal for the whole company.
By setting up users and permissions, you ensure stakeholders only see high-level executive summaries while analysts have full edit access to raw variant data. A properly connected database makes this progression effortless.
It is a structured system that records experiment hypotheses, variant details, and specific performance metrics. It keeps your historical testing data organized centrally so teams can reference what worked and avoid repeating failed tests.
No-code databases give your growth team the power of a production-ready system without needing developer support. They easily handle relational connections—like linking multiple variants to one experiment—which keeps information much cleaner than a flat spreadsheet.
You can use an AI co-builder to instantly draft your tables, fields, and custom conversion formulas. Additionally, built-in AI agents can automatically read your test descriptions to generate concise executive summaries or categorize the exact UI changes being tested, exactly when records update.
Yes, you can transform this database into a fully custom internal tool or dashboard. You can build interfaces for stakeholders to view test wins, while giving product managers dedicated forms to submit new experiment hypotheses securely.
Yes, it is completely free to get started. Fully functional databases and unlimited collaborators are included natively in the free plan. As your testing velocity grows, higher-tier plans offer increased data limits.
Excel struggles with relational data, making it hard to connect parent experiments to multiple child variants without messy, repetitive rows and broken formulas. A database enforces strict column types and ensures your testing history remains clean, structured, and easily searchable as you scale.
Build and launch your first app in under 30 minutes.