Training
User Testing
User testing reveals what people actually do, puts hypotheses to the test, and reduces uncertainty before you decide. This training helps you run user tests that deliver clear learning fast—so you avoid false certainty and make product decisions grounded in observable facts.
Who is this module for?
For teams who design, lead, or improve digital products and want to validate choices before investing further: PMs/POs, UX/UI designers, product teams, innovation and transformation teams, marketing/CRM, support - as well as business and tech stakeholders involved in trade-offs. Recommended if you want to build a regular testing practice that stays lightweight and actionable, even with limited time or budget.
What you'll get from it
You’ll move from intuition (or internal debates) to decisions grounded in observation. You’ll learn how to scope tests that truly answer a decision, ask questions that don’t bias participants, and turn what you see into clear product priorities - quickly. The goal: learn faster, reduce costly mistakes, and de-risk key choices in journeys, content, AI features, and UI with a simple, repeatable method tailored to your context.
What you'll actually learn
- Scope a relevant user test with a clear goal, hypotheses, target users, and a realistic scope
- Write neutral scenarios and tasks designed for learning
- Run a moderated or remote test with the right facilitation habits
- Analyse, synthesise, and prioritise findings based on severity, frequency, and impact
- Present results in a clear, actionable, decision-ready way
Key takeaways
Everything you need to know to organize this day for your team.
1 day, from 9:00 AM to 5:30 PM with breaks and lunch
6 to 12 people from the same organization
Online or on-site
In French or English
Practical examples & scenarios
Reusable tools & templates
No prerequisites
The agenda
An intensive day, structured to alternate between theoretical input and immediate practical application in workshops.
Scoping and the role of user testing
When to test, why it matters, and how to frame a test question that actually supports a decision.
Method overview: moderated, remote, automated
Choose the right format based on your goal, constraints, and maturity.
Designing a user test
Scenario, tasks, moderation guide, “good enough” recruitment, logistics, and tooling.
Hands-on: running sessions
Facilitate a session, observe without leading, capture the right signals (quotes, behaviours, blockers).
Analysis, prioritisation, and where AI helps
Structure observations, cluster findings, prioritise, and use AI with clear guardrails.
Debrief and decision-making
Synthesis, recommendations, quick wins vs larger workstreams, and the decisions expected on the product side.
Take away some practical tools
A reusable user test script, adaptable to your projects
