Begin with decisions the team needs
Choose a small set of questions: can users finish onboarding, complete the primary task, recover from an error, and return when the task recurs? Each question should inform a product decision rather than exist because analytics can record it.
Define event names, properties, and valid states before implementation. A shared taxonomy helps designers, engineers, and analysts distinguish a successful completion from a screen view or a tap that never reached the intended outcome.
Collect with restraint
Avoid capturing sensitive free-text or identifiers unless the product has a clear, approved need and appropriate safeguards. Decide retention, access, and deletion expectations with the people responsible for privacy and security.
Test events on both supported platforms and confirm that retries, offline behavior, and duplicate taps do not inflate counts. Document gaps openly; a partial but understood signal is better than a precise-looking number with unknown collection behavior.
Pair numbers with human evidence
Analytics can show where a journey stops, but support conversations and usability sessions can explain why. Keep a route for users and staff to report confusing, inaccessible, or unexpectedly costly steps.
Custom App Build includes analytics planning as part of product delivery, not as an indiscriminate tracking layer. Useful instrumentation should help prioritize the next release while preserving trust and honest interpretation.
From perspective to practice.
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