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Data Stack Audit for Growth Teams

Understand Your Data Before You Scale It

Analytics infrastructure audit. Tools mapped, integrations validated, gaps identified. Schema recommendation and prioritised action plan included.

Deliverable
Written Data Stack Report
Timeline
2 weeks, fixed scope
Starting price
Starting from €2,500
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

You're in the right place if any of these sound familiar.

Nobody has mapped how your tools connect

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

Decisions run on unverified numbers

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

AI use cases are on the horizon

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

You're 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 covered in a single structured engagement, designed to give you a clear verdict on your stack and a prioritised path forward.

Assessment area 01

Tech Stack Mapping

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

Data Quality & Event Tracking

  • Walk through your core user flows hands-on and trigger events ourselves
  • Validate what is actually coming in vs. what should be
  • Identify gaps, duplicates, misfiring events, and naming inconsistencies
Assessment area 03

Schema Recommendation & Action Plan

  • Recommended data schema tailored to your business model and future use cases — including AI readiness
  • Clear, prioritised fix list your team can act on immediately
  • Tools we work with: Amplitude, PostHog, GA4, Mixpanel, Segment, and more

Deliverable

  • Written Data Stack Report: stack map, integration health notes, schema recommendation, prioritised next steps
  • Final readout session walking through findings with your team
  • Prioritised action plan your team can execute independently
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Roadmap

Clear milestones, defined outputs, 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 with your team
Ongoing Support

Post-delivery

  • Async Slack support throughout the engagement
  • Follow-up check-in 30 days post-delivery
  • Optional retainer for implementation support
  • Align on next steps

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.