Productised engagements, scoped to where you are today.

You have tools — analytics, CRM, payments, marketing — but no one has mapped how they relate, whether the data flowing between them makes sense, or whether the underlying schema can support serious analysis or AI workflows.

• Tech Stack Mapping (Week 1)
  Document every tool, map how they connect, identify missing or broken data flows.
• High-Level Validation (Week 1–2)
  Confirm integrations are configured correctly. Flag anything obviously wrong or misaligned.
• Data Schema Recommendation (Week 2)
  A schema designed around your stack, business model and future use cases — clean, consistent, AI-ready.
• Deliverable: Data Stack Report
  Shareable document covering stack map, integration health and a prioritised action list.

• →Complete map of your stack and how data flows between tools
• →High-level validation that key integrations are configured correctly
• →A recommended data schema tailored to your goals
• →A prioritised set of next steps your team can act on immediately
• →Confidence your stack supports future analytics and AI use cases

Pre-seed to small teams without a technical data person, or fast-grown companies that have never audited what they have.

Tier 1 (Data Connection), Tier 2 (Analytics Build), or the Data Infrastructure + Analytics Retainer.

You use multiple tools across product, marketing and revenue. Your team doesn't trust the numbers. You're preparing for scaling, experimentation or AI.

• Define what matters
  Which metrics drive decisions, what to ignore, what should be measured.
• Connect your data sources
  Architecture and connections across product, marketing and revenue tools.
• Validate every connection
  Your team implements; we design and validate end-to-end.
• Cadence
  Kickoff (Week 1) · weekly check-ins · delivery session (Week 8) · async Slack support throughout.

• →Data structured for analysis, experimentation and AI
• →Faster answers to real business questions
• →A trusted, client-owned data architecture

Amplitude, PostHog, GA4, Mixpanel, Segment, HubSpot, Stripe, BigQuery, Snowflake, and many more.

Tier 2 — Data Analytics Foundation for Growth Teams, or the Data Infrastructure + Analytics Retainer.

You don't have a dedicated data team (or have a very junior one). You want a complete foundation built — architecture, connections, dashboards and analysis — all scoped to defined KPIs.

• Up to 20 KPIs across up to 2 teams
  Collaboratively defined, scoped to keep every deliverable answering a real question.
• Architecture blueprint + connections
  A complete, client-owned data foundation built on a solid architecture.
• Dashboards + analyses
  Two team dashboards plus three analyses across the engagement.
• Data cleaning + documentation
  Cleaned, documented data model — immediately usable for AI tools and further analysis.

• →Up to 20 collaboratively defined KPIs across up to 2 teams
• →A complete, client-owned data foundation
• →Cleaned, documented data — ready for AI workflows
• →A system serving multiple teams from one foundation

Full data warehouse setup (BigQuery, Snowflake, AWS), custom integrations, or upgrade to the Data Infrastructure + Analytics Retainer for ongoing support.

You've built (or inherited) a data foundation. You don't need a full-time hire, but you need someone who keeps dashboards healthy, runs the analyses no one else has time for, and is on call when leadership asks the hard questions.

• Dashboard upkeep & evolution
  Maintain, extend and rebuild dashboards as the business changes. No more stale reports.
• Monthly deep-dive analysis
  One scoped analysis per month — funnel, cohort, retention, channel, whatever the team needs most.
• Async Slack support
  Quick answers, sanity checks on numbers, and a thinking partner for ad-hoc data questions.
• Quarterly health check
  Re-validate the stack, flag drift, and re-prioritise what should be measured.

• →Dashboards that stay accurate as the product evolves
• →A monthly analysis cadence that informs real decisions
• →A trusted on-call data partner without a full-time hire
• →Continuous reduction of data debt

Teams post-Tier 1 or post-Tier 2 who want to keep momentum without starting another fixed-scope build.

Upgrade to the Data Infrastructure + Analytics Retainer when ownership of the roadmap is needed.

You want a data partner that owns the roadmap, not just the tickets. The team is moving fast, AI is on the table, and you need someone accountable for the data layer across product, growth and revenue.

• Roadmap ownership
  We own the data & analytics roadmap end-to-end — strategy, prioritisation, execution.
• Architecture evolution
  Continuously evolve the warehouse, schema, and integrations as the business changes.
• Cross-team analytics
  Dashboards, deep dives and decision support across product, marketing and revenue.
• AI enablement
  Prepare the data layer for LLM workflows, internal AI tools, and agentic use cases.
• Leadership cadence
  Embedded in your weekly rhythm. Async by default, on-site when it matters.

• →A data function that scales with the company without a full hire
• →An evolving architecture that stays aligned to strategy
• →A measurable lift in decision speed and confidence
• →A data layer ready for AI workloads

Seed to Series B teams treating data as a strategic function but not yet ready to build the team in-house.

Transition to in-house leadership when the team is ready — we hand over a documented, owned system.