A visible route through uncertain data.

01 · Orient

Name the decision

We turn a broad request—“help us with retention”—into a decision, audience, deadline, and useful threshold of evidence.

• Stakeholder interviews and existing evidence review
• Decision brief with scope and non-goals
• Shared language for the customer behaviour in question

02 · Trace

Test the measurement

Before interpreting behaviour, we establish whether event definitions, identity rules, consent, and pipelines make the relevant data dependable.

• Instrumentation and definition audit
• Data quality risks ranked by decision impact
• Explicit go, qualify, or repair recommendation

03 · Resolve

Build the explanation

We explore patterns, segments, journeys, and alternatives. Findings are tested with product context rather than delivered as isolated charts.

• Reproducible analysis with assumptions recorded
• Working reviews with product and engineering
• Clear separation of evidence, inference, and open question

04 · Transfer

Move the work into action

Recommendations receive an owner, expected signal, and next review point. Your team receives the definitions and reasoning needed to continue.

• Decision-ready readout and priority options
• Documentation and reusable analysis assets
• Handover session with follow-up questions captured