Now in early access

Your experiments live in ten tools. Your decisions shouldn't.

Converise is the Experimentation OS — one place to plan, analyze, decide, and remember which experiments actually moved the business.

Create free accountSee how it works

● Free during early access No credit card

The experimentation loop: plan, analyze, decide, remember, and back to plan.PlanAnalyzeDecideRemember

Connect your data

BigQueryDatabricksSnowflakeGoogle Analytics 4soonGoogle AdssoonAdobe AnalyticssoonAdobe TargetsoonOptimizelysoonNotionsoonConfluencesoon

The problem

Winning a test isn't the same as making a good decision

Analytics tells you which variant moved a metric — not whether shipping it is safe.

Without Converise

  • Results scattered across GA4, BigQuery, ad platforms and Notion
  • Nobody knows what's running or what was already tried
  • A variant won — but did the business?
  • Losing hypotheses quietly retried six months later

With Converise

  • One registry for every experiment, every channel
  • Warehouse-first evidence with source lineage
  • A recommendation with explicit risks and confidence
  • Decisions, outcomes and duplicates on the record

Product

Everything between “test ended” and “decision made”

Registry, evidence, risk checks and memory — in one workspace.

app.converise.io/experiments
Experiment registry with status, owner and decision per experiment

Experiment Workspace

Every experiment in one registry

Every test across product, ads, email and pricing — status, owner and decision at a glance.

  • Hypothesis, variants, KPIs and guardrails
  • Status and latest decision on every row
  • Timeline view with overlap detection
app.converise.io/experiments · data sources
BigQuery data-source binding with source lineage and refresh schedule

Experiment Workspace

Warehouse-first evidence

Bind a warehouse table once — the aggregation runs in your warehouse, Converise stores only summary evidence.

  • Point at columns, Converise writes the SQL
  • Raw events and user IDs never leave
  • Every number keeps its source lineage
app.converise.io/experiments · analyze
Quality checks table with passing and failing risk checks

Decision Review & Memory

Risk checks before you trust a result

16 deterministic checks run on every review, so a broken randomization is caught before anyone calls a winner.

  • Sample-ratio mismatch and underpowered tests
  • Guardrail declines and metric conflicts
  • Rule-based and explainable — never AI
app.converise.io/memory
Decision log with recorded decisions, confidence and post-rollout outcomes

Decision Review & Memory

Organizational memory that compounds

Every decision, its rationale and the rollout outcome stay searchable — losing hypotheses don't get quietly retried.

  • Decision log with call and confidence
  • Post-rollout outcome: confirmed or contradicted
  • Duplicate-hypothesis detection

How it works

Plan. Analyze. Decide. Remember.

Three steps from idea to a decision on the record.

01

Plan

Capture hypothesis, owner, variants, KPIs and guardrails. Size the test and catch overlaps before launch.

02

Analyze

Bind a warehouse table once or upload CSV. KPI and segment effects, with source lineage, refreshed on schedule.

03

Decide & remember

Get a recommendation with risks and confidence, log the decision, track the rollout outcome.

Preview

See the evidence behind every call

KPI and guardrail effects, segment breakdowns and quality checks — two-proportion z-test and Welch's t, with full source lineage.

app.converise.io/experiments · analyze
Experiment analysis with KPI effects, p-values and segment effects

FAQ

Common questions

Does Converise replace Google Analytics, Amplitude or Optimizely?

No. Converise is the decision and memory layer above them — it normalizes their results and tells you whether the decision is safe. It doesn't run your tests.

Do you ingest our raw event data?

No. The aggregation runs in your warehouse; Converise stores only normalized summary evidence and source lineage — never raw events or user identifiers.

Is the recommendation just an AI guessing?

No. Recommendations are rule-based and explainable — ship, reject, iterate or investigate, with risks and confidence. Deterministic code decides; AI only rephrases the rationale.

What can I connect?

BigQuery, Databricks and Snowflake today, plus CSV/JSON upload and an ingestion API. GA4, Google Ads, Adobe, Optimizely, Notion and Confluence are next in the catalog.

Who is it for?

Teams running experiments across product, ads, email and pricing — Experimentation, CRO, Growth and Product Analytics leads who need decision quality, not another dashboard.

Is it available now?

Yes. Create a free account — early access is free, no credit card.

Your next experiment decision, defensible

Connect your warehouse and review your first experiment today.

Create free account

Free during early accessNo credit card