Website Analytics and Experimentation
Website Analytics and Experimentation for Smarter Product Decisions
I help teams instrument meaningful metrics, interpret behavior patterns, and run focused UX experiments that improve outcomes over time without turning analytics into noise.
How I Help
- Define event models that reflect real user intent and product goals.
- Build practical dashboards for decision-making, not vanity metrics.
- Prioritize experiments based on impact, confidence, and implementation cost.
- Add privacy-aware measurement boundaries so experimentation stays usable for European teams.
- Feed learnings back into design and roadmap decisions.
Fixed-scope starting point
Growth Signal Sprint
SaaS, marketing sites, ecommerce, and expert-led businesses with traffic but unclear product priorities.
- Timeline
- 3-5 weeks
- Budget frame
- Starting from EUR12k
Combines analytics, CRO UX, data-driven design, and AI-search visibility into one focused growth loop.
Relevant Proof
Green Filter Decision Support
Research-led sustainability product work focused on helping users understand recommendations and act on decision-support cues.
- Connected user research to product framing and prioritization.
- Explored in-context guidance patterns for shopping and finance decisions.
- Translated behavior-change goals into clearer interaction patterns.
Short AI Video Story Concepts
These story and script seeds can become short AI-generated videos that explain what the service does, why it matters, and how HAAM delivers it.
Signals Into Decisions
Story: Event streams, dashboards, and experiment cards transform from noise into a calm roadmap of what to test next.
Script: Open on the customer problem, cut to the confusing or high-risk moment, then show HAAM mapping the journey, applying practical UX changes, and ending on a clearer measurable outcome.
Production note: Show how measurement becomes a continuous product learning loop.
Before / During / After
Story: Start with the current experience as a messy storyboard, move into a focused working session, and finish with a concise set of improvements ready for review or implementation.
Script: Scene one: friction and uncertainty. Scene two: HAAM turns evidence, constraints, and design judgment into a plan. Scene three: the service outcome is shown as a simpler flow, stronger signals, and a clear next step.
Production note: Use this as a reusable 20-30 second explainer format for social, proposals, and service-page videos.
Related Work
Green Filter App
Research and product framing work that connected user insight to feature prioritization and decision behavior.
WiFi.ee
Flow optimization opportunities across acquisition, activation, and retention touchpoints.
Green Filter Chrome Extension
Interaction experiments to learn which sustainability cues drive meaningful user action.
FAQ
Can you help if we already have analytics tools installed?
Yes. I can audit your current setup, clean up noisy tracking, and align instrumentation with product decisions.
Do you focus on business metrics or UX metrics?
Both. The strongest decisions connect user behavior quality with commercial outcomes.
How often should experimentation run?
Continuously in small focused cycles. The goal is a steady evidence loop, not occasional big rewrites.