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.
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.
We bridge the gap between growth and data.
Analytics projects rarely fail on technology, they fail on the gap between the people building the data and the people deciding with it. We close it, pairing former growth and experimentation leaders with senior analytics engineers, bringing lessons from companies
like: Booking.com · Meta · Canva · Amplitude · Gojek · Optimizely
The operating system behind modern growth teams
Measure → Connect → Understand → Experiment → Scale with AI
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Build a foundation that's ready for AI
Measure → Connect → Understand → Experiment → Scale with AI
A senior partner runs your audit, no juniors, no handoffs.
Previously Solution Consultant at Amplitude and Optimizely, Gregor helps companies turn messy data stacks into decision grade systems that survive on AI roadmap. He blends marketing, product, and analytics to solve acquisition and retention challenges across B2B and B2C.
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Scope of Work
Three assessment areas, delivered in two weeks.
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
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
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
Roadmap
Two focused weeks — 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
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
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.
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.