Solutions · CRO Leads

One place to plan, analyze, decide and remember.

You run experiments across products, teams and tools. Converise gives your whole program one home — a shared registry, automated quality checks before every decision, and a memory that outlives any spreadsheet.

Free during early accessNo credit cardWorks with your stack

app.converise.io/experiments
Converise experiment registry — every test with status, recommendation and decision

Built for CRO and Experimentation Leads

Every experiment in one registry

Automated quality checks before every decision

Decisions and learnings on the record

Connect your data

BigQueryDatabricksSnowflakeGoogle Analytics 4soonGoogle AdssoonAdobe AnalyticssoonAdobe TargetsoonOptimizelysoonNotionsoonConfluencesoon

The problem

A program scattered across tools and teams

Ideas live in decks, results in three different tools, and every readout waits for an analyst. Meanwhile stakeholders question the numbers — and last year's failed test is about to be run again.

Without Converise

  • Experiments scattered across tools, teams and documents
  • Every readout waits for scarce analyst capacity
  • Results get questioned — hard to prove a win is real
  • Learnings are lost and tests get repeated

With Converise

  • One registry and timeline for every experiment, across all areas
  • Results imported and reviewed automatically, on a schedule
  • A clear recommendation with the risks spelled out
  • Every decision and learning stored, searchable, reusable

What you get

Your whole program, one operating system

app.converise.io/experiments · timeline
Experiment timeline across the program

Plan

See everything that's planned, running and done

A prioritized backlog, a timeline of every test, and warnings when experiments overlap. No more asking around to find out what's live where.

  • Backlog with simple priority scoring
  • Timeline and kanban across all teams and areas
  • Overlap warnings before tests collide
app.converise.io/experiments · decide
Recommendation with blocking risks on a completed experiment

Decide

Know when a result is safe to ship

Every review runs automated quality checks and produces a plain recommendation — ship, reject, iterate or investigate — with the blocking risks listed, not buried.

  • Automated checks catch broken tests before they become decisions
  • Clear recommendation with confidence and next actions
  • Guardrail damage surfaced before anyone celebrates a win
app.converise.io/memory
Experiment memory — portfolio quality and decisions

Remember

Never repeat a test that already failed

Decisions, rationale and outcomes become organizational memory. Similar-experiment detection flags duplicate hypotheses before they burn another sprint.

  • Decision log with rationale for every closed test
  • Duplicate-hypothesis detection across the workspace
  • Portfolio view of what still needs a decision or outcome

How it works

Three steps, no migration

01

Bring your experiments in

Add tests manually or import them — each with hypothesis, owner, KPIs and guardrails.

02

Connect the results

Warehouse connectors, CSV/JSON upload or API — evidence flows into one canonical model.

03

Decide and remember

Review with automated checks, record the decision, and let the program learn from it.

FAQ

Questions from your seat

We already track experiments in spreadsheets and Confluence.

That works until someone asks which of last quarter's wins actually held up. Converise keeps the same information — plus results, checks and decisions — connected and searchable, without the manual upkeep.

Does it replace our testing tool?

No. Your testing tools keep running the experiments. Converise sits above them as the registry, review layer and memory for the whole program.

Will teams actually adopt another tool?

The workspace is where their daily work gets easier — planning, tracking and readouts in one place. Viewers and stakeholders just get a link instead of a status meeting.

Where do the results come from?

Native connectors for modern data platforms — BigQuery, Databricks, Snowflake — plus CSV/JSON upload and a simple API for everything else.

Know which experiments created business value — before you ship.

Plan, analyze, decide and remember every experiment in one place.

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Free during early accessNo credit card