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Tooling & Analytics

Make better product decisions—with the right tools, the right data, and the right setup.

Why Tooling & Analytics Matter

In today’s product-led world, decisions need to be fast, informed, and aligned. But too often, product teams are flying blind—or drowning in noisy dashboards that don’t drive action.

The right tooling and analytics setup doesn’t just track usage—it surfaces insight, reveals opportunities, and gives teams the confidence to act. We help you move from scattered tools and siloed reports to a product intelligence stack that truly empowers your organisation.

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What We Offer

Tooling & Stack Assessment
We audit your current tools across product analytics, user feedback, session tracking, experimentation, and communication to identify gaps, overlaps, and opportunities for consolidation or improvement.

Analytics & Event Taxonomy Design
We help define what to measure and why—aligning events, properties, and naming conventions to your product goals, customer journeys, and team needs.

Dashboard & Decision Infrastructure
We build accessible, outcome-focused dashboards for product managers, leadership, and cross-functional teams—so everyone can see what matters and act on it.

Experimentation Infrastructure
We design lightweight, scalable experimentation processes—combining tooling, team capability, and statistical guardrails to enable confident A/B testing and iterative product development.

Voice of the Customer Integration
We help you build feedback loops—combining qualitative insight (surveys, NPS, interviews) with quantitative behaviour to create a more complete picture of user experience and product-market fit.

Tool Selection & Implementation Support
Whether you’re starting fresh or scaling your stack, we provide unbiased recommendations and hands-on implementation support.

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How We Work

We match the tooling and data needs to your product maturity, team structure, and decision-making model. Our engagements are practical, collaborative, and designed to leave your team more capable—not more dependent.

Typical formats include:

  • Product Data Audit (2–3 weeks)
    Rapid assessment of current tooling, tracking accuracy, data usage, and team friction points—culminating in a clear improvement roadmap.

  • Tooling Stack Setup or Migration (4–8 weeks)
    End-to-end design and rollout of your analytics and feedback stack—including instrumentation, dashboards, and team enablement.

  • Ongoing Data & Insight Coaching
    Regular check-ins and support to help product teams turn data into action, and action into measurable outcomes.

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Outcomes You Can Expect

  • Cleaner, more reliable product data

  • Aligned, purposeful tracking across teams

  • Greater confidence in product decisions

  • Faster feedback on experiments and feature launches

  • A tooling stack that grows with your business

  • Less time wrangling reports, more time improving the product