proteusANALYTICS

Product Analytics × Quality Assurance

Product data
you can actually
rely on.

Proteus finds and fixes the gaps between your product, tracking, dashboards, and business KPIs — so your team can make decisions with confidence.

Product Analytics · Instrumentation QA · Data Reliability

From product to decision P / 01
01 / MEASURE Product User takes an action
02 / VALIDATE Instrumentation ✓ The right event. The right context.
03 / UNDERSTAND Analytics & KPIs ✓ One consistent definition of success.
04 / DECIDE A decision you can defend
Reliability is the connection between every layer.
Built around your existing stack
  • Amplitude
  • GA4
  • Mixpanel
  • PostHog
  • Looker

01 / The confidence gap

Your analytics shouldn’t require
a leap of faith.

The dashboards look polished. Events appear to be firing. The numbers look reasonable.

That’s not a dashboard problem.
It’s a reliability problem.

Two tools. Two versions of the truth.

GA4 and Amplitude disagree. Your team spends the meeting reconciling numbers instead of making a decision.

A release ships. A funnel quietly breaks.

The product still works, but a missing or duplicated event changes the story your analytics tells.

One KPI. Three different definitions.

Product, Growth, and leadership count success differently. Which metric belongs in the board deck?

02 / The Proteus perspective

Where product
analytics meets QA.

Most analytics partners tell you what the numbers say. Most QA partners tell you whether the product works.

Proteus makes sure the product, the tracking, and the numbers agree.

01

Measure

Capture the actions that matter.

02

Validate

Check the signal against reality.

03

Understand

Connect metrics to product behavior.

04

Decide

Know what the evidence supports.

03 / Start with a clear diagnosis

Product Data
Reliability Audit.

7–10 business days Fixed scope

Know where your data holds up.
And where it lets you down.

We trace critical product journeys from the action in your app to the number in your dashboard. You leave with a shared understanding of what’s reliable and a clear plan for what comes next.

Explore the audit

Four deliverables. One clearer picture.

Built for leadership and the teams doing the work
01

Reliability Map

Know what you can trust.

A clear view of reliable signals, uncertain metrics, and the gaps that put decisions at risk.

02

Prioritized Repair Plan

Fix what matters first.

Findings ranked by business impact and implementation effort, with a practical order of work.

03

Executive Brief

Give leadership a straight answer.

Which product and business decisions your analytics can safely support — and which need better evidence.

04

Technical Findings

Move from diagnosis to action.

Specific recommendations for Product, Engineering, and Data teams, grounded in the issues we find.

04 / From findings to confidence

Find the gaps.
Fix them. Keep them fixed.

A focused first engagement, with a path to implementation and ongoing support when you need it.

01 / DIAGNOSE

Reliability Audit

Find the risks in your instrumentation, funnels, KPI definitions, and dashboard logic.

See the scope ↗
02 / REPAIR

Reliability Repair

Fix instrumentation, analytics configuration, and metric definitions. Close the gaps in funnel tracking and release QA.

Focused implementation projects
03 / MAINTAIN

Ongoing Reliability

Keep analytics dependable with release validation, instrumentation monitoring, KPI governance, product analysis, experimentation, and executive reporting.

Recurring support as your product evolves

05 / Experience behind Proteus

Product thinking.
Measurable outcomes.

Selected results from prior professional and client work. These are not presented as Proteus Analytics LLC customer engagements.

Telecommunications · Prior work

Connecting product analytics
and release reliability.

Experience across mobile, web, campaign analysis, executive reporting, and analytics QA.

Campaign performance +70%

Analytics-informed campaign decisions.

Product engagement +60%

Product and growth analysis.

QA cycle time −85%

Automation and release process improvements.

Approximate outcomes reported in prior work; client details are confidential. Results depend on context and are not guarantees.

Explore interactive work samples Illustrative demos · Simulated data

06 / About Proteus

Close to the product.
Accountable to
the decision.

Meet the person behind Proteus ↗

Proteus is a specialist consultancy at the intersection of product analytics and software quality.

Our background spans instrumentation, QA, executive reporting, and release reliability. We work across Product, Engineering, and Data to understand where the evidence breaks — and help put it right.

Built for scaling SaaS companies, mobile apps, marketplaces, and digital product teams that have data, but need more confidence in it.

Wyoming, USA · Working remotely with global teams

A clearer starting point

Which numbers are you
still second-guessing?

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 Review

30-minute conversation · No preparation required

Prefer email? hello@useproteus.io ↗