Events & instrumentation
Missing, duplicated, or incorrect events; properties, identity, and tracking validation.
The starting point for reliable decisions
The Product Data Reliability Audit traces your critical journeys from product behavior to business KPI — and shows you where the story stops adding up.
Book a Product Data Reliability Review7–10 business days · Fixed scope · Actionable findings
What we examine
A focused product analytics audit across the layers that shape your numbers.
We agree on the critical journeys, platforms, and decisions upfront. The audit goes deep on that scope; it does not assume every event in your organization needs the same attention.
Missing, duplicated, or incorrect events; properties, identity, and tracking validation.
Journey continuity, analytics settings, and discrepancies across tools such as Amplitude and GA4.
Metric definitions, filters, calculation logic, and consistency between reports.
How product changes are tested and whether tracking regressions reach production.
Who defines, approves, and maintains the metrics and tracking in scope.
A look at the method
Select a layer to explore an example finding. This is an illustrative audit, using a fictional activation journey.
A user completes onboarding in the app, but the completion event is absent on one mobile release. The product passes a functional test; the funnel still undercounts activation.
Trace the completed journey against the emitted events, properties, and release version.
What you take away
Know what you can trust.
A clear view of reliable signals, uncertain metrics, and the gaps that put decisions at risk.
Fix what matters first.
Findings ranked by business impact and implementation effort, with a practical order of work.
Give leadership a straight answer.
Which product and business decisions your analytics can safely support — and which need better evidence.
Move from diagnosis to action.
Specific recommendations for Product, Engineering, and Data teams, grounded in the issues we find.
How the engagement works
The 7–10 business day audit starts once the agreed access and materials are available.
A 30-minute conversation about the decisions, discrepancies, and journeys that matter. We agree the scope and fee before starting.
Review the agreed tracking, configurations, reports, and release practices. Reproduce discrepancies and document the evidence.
Walk through the findings with your team. You receive the four deliverables and a prioritized path to repair.
Before we begin
Access to the analytics tools and dashboards in scope, relevant tracking plans and KPI definitions, and a point of contact across Product, Engineering, or Data. We agree the minimum access needed during scoping.
The audit is a diagnostic engagement. Implementation is scoped separately through Reliability Repair, with changes agreed before work begins.
No. We work with your existing setup, including Amplitude, GA4, Mixpanel, PostHog, Looker, and similar tools. The goal is to make the evidence reliable, not to sell you a replacement stack.
The fee is agreed upfront based on the product journeys, tools, and access requirements in scope. The review conversation helps us define a focused engagement before you commit.
Your team can use the prioritized repair plan independently, or work with Proteus on Reliability Repair and ongoing analytics QA. There is no requirement to continue into another engagement.
A clearer starting point
Bring the metric, funnel, or dashboard you’re unsure about. We’ll talk through what’s at stake and whether an audit is the right next step.
Book a Product Data Reliability Review30-minute conversation · No preparation required
Prefer email? hello@useproteus.io ↗