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Your Analytics Stack, Fully Mapped and Ready to Scale

Data Stack Audit

A hands-on audit of your analytics setup and data infrastructure — mapping your tools, validating integrations, identifying gaps, and giving you a clear schema recommendation and prioritised action plan. The entry point before you build anything serious with your data.

2 Weeks
Complete mapping, validation, and written report delivered in two focused weeks
Written Report
Stack map, integration health notes, schema recommendation, and prioritised action plan
Readout Session
Live walkthrough of findings with your team
TRUSTED BY 50+ FOUNDERS AND GROWTH TEAMS AT
What others have to say about this service:
“Working with Adasight gave us exactly what we needed to level up our analytics. Their team helped us audit our stack, cut through the noise, and build dashboards we rely on every day to make smarter decisions. The weekly support kept us on track, and now we feel fully equipped to own and grow our data in-house.”
Tom Clarke
Director of Product at Ticket Tailor
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Who This Is For

This audit is for teams with data tools in place who need clarity on what's actually working.

You have tools but no map

Tools are in place but nobody has ever mapped how they connect — or whether the data flowing between them is correct.

Decisions on unverified numbers

Your team makes product, marketing, or revenue decisions on numbers nobody has verified.

Planning AI use cases

You're thinking about AI use cases and want to make sure your data foundation won't block you.

About to invest in your stack

You're about to invest in your data stack and want an expert view before you spend more.

Why it matters

Most data stacks grow by accident.
Not through a plan, but one tool at a time — and nobody ends up with a clear picture of how data actually moves.

Know what your stack actually does

Most teams assume their tools are wired up correctly. Events fire, dashboards fill up — it all looks fine. But broken integrations, missing properties, and quiet data drift mean the numbers you act on are often wrong. The audit goes hands-on inside your stack to confirm what's real and what isn't.

Build a foundation that's ready for AI

AI use cases — from prediction to personalisation — only work as well as the schema underneath them. We design a data schema tailored to your business model and your future use cases, so the work you do now compounds instead of needing a rebuild in 12 months.

Scope of Work

Three assessment areas, delivered in two weeks.

01

Tech Stack Mapping

  • Document every tool in your stack — analytics, CRM, payments, marketing, databases, and data sources
  • Map how they currently connect and identify broken or missing integrations
  • Flag where data flows are inconsistent
02

Data Quality & Event Tracking

  • Walk through your core user flows hands-on and trigger events ourselves
  • Identify gaps, duplicates, misfiring events, and naming inconsistencies
  • Validate what's actually coming in — not just what's documented
03

Schema Recommendation & Action Plan

  • Recommended data schema tailored to your business model and future use cases
  • Includes AI readiness assessment
  • Clear, prioritised fix list your team can act on immediately

Deliverables

  • Written Data Stack Report: stack map, integration health notes, schema recommendation, prioritised next steps
  • Final readout session walking through findings with your team
  • Tools we work with: Amplitude, PostHog, GA4, Mixpanel, Segment, and more
Book a Discovery Call

Roadmap

Two focused weeks — no black box.

Week 1

Stack Mapping & Discovery

  • Kickoff call to understand your tools, business model, and goals
  • Full tech stack documentation and integration health review
  • Begin hands-on validation of core user flows
Week 2

Audit & Report

  • Data quality and event tracking validation
  • Schema recommendation based on your stack and use cases
  • Data Stack Report delivery + readout session
Outcomes

What You Walk Away With

  • A complete map of your tech stack and how data flows between tools
  • Core user flows validated against real data — not assumptions
  • Recommended data schema designed for your business and future AI use cases
  • Prioritised action plan your team can execute independently

Frequently Asked Questions

Everything you need to know about our tech-enabled services.

What do you actually audit?

Your tools, how they connect, and whether the data is accurate. We walk through your core user flows hands-on, trigger events ourselves, and validate what’s coming in — we don’t just review documentation.

How is this different from an implementation?

An audit tells you what’s broken and what to fix. An implementation builds the solution. Most clients audit first so they’re not building on assumptions.

What do we need to prepare?

Access to your analytics tools and a primary point of contact. That’s it — we handle the rest.

What if we have no existing tracking documentation?

That’s common. We start from the product itself, walking through flows live rather than relying on docs.

Will you fix the issues you find?

The audit produces a prioritised action plan your team can act on independently. If you want us to fix them, that moves into a Data Connection Setup or Data Foundation engagement depending on scope.

How many tools and flows can you audit?

Base scope covers your primary analytics platform and up to 3 core user flows. Additional tools or flows can be added at scoping.

Book a Discovery Call

Ready to take your product and marketing performance to the next level? Let’s start a conversation about transforming your data into actionable strategies.