ACW Soft Solutions

Product analytics setup and analysis

Measure the actions that show whether users complete your product’s important tasks. ACW defines event tracking, checks the collected data, and builds funnel and retention views around the decisions your team needs to make.

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Answer a product question with the right events

  • Unclear behaviour

    Define what completing the intended task looks like, rather than measuring only visits or clicks.

  • Hidden drop-off

    Identify the steps, entry conditions, and time window for a meaningful funnel.

  • Weak prioritisation signals

    Compare relevant users and cohorts without assuming that a commonly used feature caused retention or growth.

Design the measurement your product needs

  • Event tracking

    Specify event names, properties, firing conditions, and user or account identifiers. Exclude unnecessary personal information from the planned payloads.

  • Funnel analysis

    Define the sequence, eligible population, completion window, and treatment of repeat actions. Investigate unexpected drop-off before proposing a fix.

  • Retention

    Agree what counts as returning usage and the cycle appropriate to the product. Compare cohorts with consistent definitions.

  • Reporting

    Build the agreed views with filters, metric definitions, and collection limits visible. Name who maintains them when the product changes.

What the engagement produces

  • A measurement plan linked to product questions.

  • An event and property specification.

  • Tracking implementation and validation where included.

  • Funnel, cohort, and reporting views within scope.

  • Findings and a backlog of measurement gaps or product hypotheses.

From instrumentation to interpretation

  1. Map the journey

    Agree the user task, key steps, and decisions the analysis should support.

  2. Review collection

    Check existing events, identifiers, tool access, consent-dependent collection, and retention settings. Identify gaps and unsupported comparisons.

  3. Implement and verify

    Test the selected tracking changes against representative product actions. Check repeated events, missing fields, and internal or test traffic.

  4. Analyse and hand over

    Review the first usable data, document limitations, and explain how to maintain the plan across releases.

Check the measurement before changing the product

Acceptance should establish that agreed events fire under the intended conditions and the reports use the correct definitions. Tracking changes, missing users, and incomplete cohort periods should be considered before interpreting movement in conversion or retention. A chart identifies a pattern; it does not by itself prove why users behaved that way.

This is an example of a possible engagement, not an ACW client result.

Illustrative question: onboarding completion

The team defines onboarding entry and the action marking completion. Tracking is checked against test journeys before a funnel is built. A step with drop-off becomes a research question, combined with feedback or usability review before a solution is prioritised.

Questions before setup

Which analytics platform should we use?

Choose against event requirements, existing tools, data handling, implementation effort, and operating costs. No single platform fits every product.

Can you use our current tracking?

Yes, after checking its definitions and implementation. Existing events may be sufficient or may need correction before analysis.

Does analytics guarantee better retention?

No. It helps identify and evaluate questions. Improvements depend on the changes made and evidence from subsequent observation or testing.

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Define the product question you need measured

Tell us the user journey, current tracking, and the decision your team cannot confidently make.

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