Most teams ship more experiments than they can remember. Prior connects what you already test, document, and decide — and turns it into a searchable, durable record the whole org can reuse.
Writeups live in someone’s docs, someone else’s tickets, someone else’s deck. Nobody owns the index.
FragmentedWhy did we ship the v3 onboarding? The answer is in a Slack thread from eight months ago — if at all.
UntraceableNegative results are the most expensive thing to rediscover, and the easiest to forget you ever produced.
RediscoveredExperimentation platforms, warehouses, docs, tickets, repos. Prior reads from the systems your teams already write into — no new editor, no new tags, no new meeting.
An assignment, a metric run, a Notion writeup, a launch ticket — joined into one canonical experiment with hypothesis, variants, outcome, and decision intact.
Type a hypothesis, get the prior tests, decisions, and outcomes that already explored it. Duplicate detection, related work, and reusable evidence — surfaced before launch.
Every experiment gets a one-sentence summary with key metrics, confidence intervals, and the final decision.
Before you launch, see what was already tested. Hypotheses, outcomes, and decisions — surfaced automatically.
Primary, secondary, and guardrail metrics — with confidence intervals, significance, and inline sparklines.
Docs, tickets, PRs, flags — every artifact connected to the experiment, matched manually or by AI.
Treatment B increased mobile checkout completion by ↑ +2.10% [+0.90%, +3.30%]; guardrails held; shipped to 100% on 14 March 2026.
Reducing the address form from 7 fields to 4 will increase checkout completion rate on mobile by ≥1.5%, without harming order accuracy.
Variants are cheap to produce. Validating them and remembering what we’ve tried is now the binding constraint.
A typical org runs across multiple assignment, analytics, and documentation systems. None of them owns the long-term record.
Hypotheses, decisions, and outcomes can be extracted across messy artifacts with quality that wasn’t possible two years ago.
Experimentation history belongs to your org. Portable, inspectable, exportable — always.
Not a transient dashboard. A structured, reusable artifact that outlives the tool that produced it.
The first interface to your past is retrieval — what happened, where, and why.
Preventing rediscovery of a failed idea is worth as much as preserving a winner.
An experiment without a decision is an unfinished thought. Prior captures both, with lineage.
Useful to one team on day one. Org-wide network effects are a byproduct, not a precondition.
Models surface prior evidence. They don’t fabricate new certainty.
We’re working with a small number of teams who run real experimentation programs. If that’s you, leave an email — or just write to us. We read every reply, and the feedback shapes what we ship next.