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.

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


Build a foundation that's ready for AI
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.
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
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
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
Roadmap
Clear milestones, defined outputs, no black box.
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
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
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
Customer Success Stories
Frequently Asked Questions
Everything you need to know about our tech-enabled services.
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.
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.
Access to your analytics tools and a primary point of contact. That's it — we handle the rest.
That's common. We start from the product itself, walking through flows live rather than relying on docs.
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.
Base scope covers your primary analytics platform and up to 3 core user flows. Additional tools or flows can be added at scoping.



































