UX Research & Product Analytics

This is for you if

• You have users but they are not signing up, converting or coming back the way you expected.

• You suspect there is friction in the product but cannot pin down where.

• You have analytics and do not trust the numbers coming out of them.

• Your team argues about what users want, and nobody has watched one use the product.

What we do together

Recruit participants who match your real audience, and write task scenarios against your own activation funnel.

Run moderated sessions and record where people hesitate, misread the interface or get stuck.

Cross-analyse the sessions for the problems that recur, prioritise by severity and reach, and deliver a report with fixes the team can work from.

Instrument the product: events across app, product and site, and dashboards that show where the funnel leaks.

Tell the team what to change, technically and product-side, and in what order.

How it works

1. Discovery calls, free. Up to three, ending with a proposal and a price.

2. Research. €1,500 for a single flow, €3,000 for a full product pass. Recruitment, scenario design, moderated sessions, cross-analysis and a report with a prioritised fix list. Qualitative work produces results with four participants, so it comes first. Analytics needs traffic before the numbers mean anything.

3. Instrumentation. Priced whole against milestones. Events across app, product and site, and dashboards that show where the funnel leaks.

4. Ongoing. Optional retainer from €2,000 a month: repeat rounds as the product changes, and direction for the team between them.

What you get

• A research report: what was tested, what broke, how often, and with which users.

• A prioritised fix list ranked by severity and reach, ready to go into your backlog.

• Analytics instrumented across the product, with dashboards that show where the funnel leaks.

• The scenarios and the method, documented. Your team can run the next round, or I run it with you on a regular cycle as the product changes.

Proof

Ran moderated sessions that surfaced 58 issues across four participants and turned them into a prioritised fix matrix.

Built a product's analytics back office from scratch and used it to establish that activation was bimodal: users act in the first hour or not at all. That finding redirected the whole retention roadmap.

Cleaned a cohort of install-farm traffic that was depressing measured activation by 25 points and reversing the dashboard's own conclusion. The same analysis ruled out onboarding, authentication and the creation flow as causes.

Doubled activation from app open to the home feed after a round of releases, holding it between 56% and 88% since; the largest genuine weekly cohort, 35 users, converted at 69%.

Held first-item conversion steady while monthly signups grew from 9 to 44 over seven months, largely cold traffic.

Cut time from signup to first use from 5 hours to 2 minutes on another product, through onboarding and an interactive guide.