Session Brief: Pirate Metrics AARRR

Goal

Artifact: AARRR funnel

Working Question

Which metric represents each AARRR stage, where is the largest leverage at the bottleneck, and which experiments address it?

Context

Current data from the last 90 days per stage, if available; definition of activation moment; known drop-off points; cohort reports on retention.

Setup

• Format: Method session
• Duration: 3-4 h
• Mode: Workshop or async
• Participants: One owner (Head of Growth or Product Lead); one data analyst with product analytics access; one person each from marketing, product, customer success, and sales; scribe.
• Owner: One owner (Head of Growth or Product Lead)
• Participation mode: Team round, shared work and alignment
• Outcome logic: Finish artifact

Participation Logic

Use the session for shared understanding. Contributions are collected visibly, assumptions are aligned, and open differences remain traceable in the artifact.

Outcome Logic

The session works directly toward AARRR funnel. After the session, the artifact should be shareable, reviewable, or reusable.

Input

Whiteboard or Miro board with five columns (Acquisition, Activation, Retention, Referral, Revenue); stage template with fields for definition, metric, baseline, target, source; tracking schema for the product.

Preparation

Create columns and define AARRR order. Prepare one definition card per stage. Data analyst works in parallel in BI tool and streams values live into the workshop.

Agenda

1. Phase 1: Stage definitions (30 min) Owner: Facilitator Action: Define a product-specific meaning for each stage: what counts as Acquisition, Activation, Retention, Referral, Revenue. Run a sample user path. Hint: Activation is often set too early (sign-up) or too late (first purchase). Ask: after which action does the user become significantly more likely to return? Output: AARRR funnel

2. Phase 2: Metrics and baselines (45 min) Owner: Facilitator Action: Define one primary metric and 1-2 secondary metrics per stage. Enter current values from BI. Calculate conversion rates between stages. Hint: If a stage has no metric, either tracking is missing or the stage is irrelevant to the business model. Make both explicit. Output: Metric baseline

3. Phase 3: Identify bottleneck (30 min) Owner: Facilitator Action: Compare conversion rates with benchmarks (industry, own history). Mark stage with highest relative weakness. Form a hypothesis on why it is the bottleneck. Hint: The largest absolute drop is not always the main bottleneck. If 80% drop at Acquisition but the highest value stage is retention, retention can still be the best leverage point. Output: Experiment backlog

4. Phase 4: Hypotheses and experiments (45 min) Owner: Facilitator Action: Create 3-5 hypotheses per bottleneck, prioritized by ICE or RICE. For each top hypothesis draft an experiment (setup, success metric, duration, owner). Hint: Hypotheses must target the identified conversion rate, not improve a different stage. Distinguish clearly what measures success of the experiment. Output: AARRR funnel

5. Phase 5: Cadence and rollout (20 min) Owner: Owner Action: Set weekly or bi-weekly AARRR-stage review cadence. Dashboard layout with five tiles plus conversion rates. Name an owner per stage. Hint: Without cadence, the model is filled once and then unused. Create recurring calendar cadence immediately. Output: Metric baseline

6. Publish artifact (10 min) Owner: Owner Action: Check the artifact for completeness, define location, set version or status, and name review recipients. Output: AARRR funnel

Closeout

• Update result artifact: AARRR funnel
• Define location, version, and review recipients.
• Define owner, next step, and review date.

AARRR funnel: Pirate Metrics AARRR

Working Question

Which metric represents each AARRR stage, where is the largest leverage at the bottleneck, and which experiments address it?

Context

Current data from the last 90 days per stage, if available; definition of activation moment; known drop-off points; cohort reports on retention.

Participants

• Owner: One owner (Head of Growth or Product Lead)
• Participants: One owner (Head of Growth or Product Lead); one data analyst with product analytics access; one person each from marketing, product, customer success, and sales; scribe.

Input

Whiteboard or Miro board with five columns (Acquisition, Activation, Retention, Referral, Revenue); stage template with fields for definition, metric, baseline, target, source; tracking schema for the product.

Template

Pirate Metrics AARRR Working Template

Goal

Structures growth across Acquisition, Activation, Retention, Referral, and Revenue.

Context

When and for what do we use this method?

Input

Which data, observations, decisions, or materials are available?

Execution

Short notes along the runsheet.

Output artifacts

• AARRR Funnel:
• Metric Baseline:
• Experiment Backlog:

Assumptions and open questions

• ...

Decision / Next step

Owner, date, and success signal.

Completion Check

• AARRR funnel is complete enough for review:
• Location:
• Version / status:
• Review by:
• Next step:

Next Step

• Review result
• Mark open questions
• Schedule review or decision