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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
View all Testimonials →

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's the difference between this and a standard analytics audit?

Most analytics audits check whether tracking is set up correctly. This goes further — we assess whether your data is reliable enough to run experiments on, review your existing experiment history, and map your next 5–8 hypotheses. The output is a business case, not just a list of tracking fixes.

Which tech stack do you support my  team with?

We work with tools like Amplitude, GA4, Segment, Mixpanel, Hubspot, Rudderstack Launchdarkly, Looker, and more. Based on your current stage and goals, we'll recommend the best stack.

Which profiles and team will support me?

Depending on your plan, your Adasight squad can include:

  • Analytics engineer (tracking & integrations)
  • Product analyst (dashboards & insights)
  • Growth strategist (experiments & KPIs)

We flex the team based on your needs.

How fast can you get started?

We can start within 5–10 business days of onboarding. Before we begin execution, you’ll receive a kickoff call, tool access, and an analytics audit.

Can I use Adasight for a one-time project?

Our model is designed for ongoing growth, but we do offer short-term sprints for things like:

  • Event tracking setup
  • Audit analytics tech stack
  • Experimentation boot camps

Reach out, and we’ll advise you on the best fit.

Do I need in-house analytics to work with you?

Nope. We often serve as our clients' analytics team. If you have internal data people, we’ll act as your operational partner and handle the execution work and also provide strategic advice in regards growth analytics processes, and best practices.

How is pricing structured?

We offer monthly plans based on scope, complexity, and how many squads you need.

Let’s talk — we’ll build a custom quote based on your use case.

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.