Our process

A clear path from curve to cause.

Retention analysis should reduce uncertainty. Our process makes assumptions visible, keeps your team close to the evidence and ends with decisions you can put to work.

01 / Frame

Start with the decision

We define who must decide what, which user behaviour matters and what “retained” means in your business model. This prevents an elegant analysis answering the wrong question.

  • Stakeholder working session
  • Metric and scope definition
  • Known constraints documented
02 / Verify

Make the data trustworthy

Before interpreting curves, we check identity logic, event coverage, date boundaries and cohort construction. Any limitation travels with the finding it affects.

  • Tracking and identity review
  • Query reconciliation
  • Data quality memo
03 / Explain

Find meaningful differences

We compare acquisition source, activation behaviour, customer type, geography and product use—selectively, not as a fishing expedition.

  • Segmented curve analysis
  • Behavioural markers
  • Opportunity sizing
04 / Act

Commit to the next move

Findings become a short list of product, lifecycle or measurement actions, each tied to evidence and an observable result.

  • Prioritisation workshop
  • Experiment or roadmap briefs
  • Executive readout
Team in a focused working session

Working principle

Your team stays close to the reasoning.

We do not disappear into analysis and return with a deck. Short working sessions at each stage let product, growth and data owners challenge assumptions while they are still easy to change.

Plan a working session