Training
Exploratory Research & Product Discovery
Upstream, decisions can’t wait: what to solve, who it’s for, and the impact you’re aiming for. Exploratory research brings clarity—when the day-to-day is set up to work. This training helps you level up discovery and build ResearchOps basics at the same time.
Who is this module for?
This module is designed for product and digital teams who need to move quickly: PMs/POs, designers, researchers, and marketing/innovation. It’s ideal if you want to frame a topic more clearly, avoid false starts, and align the team from the outset.
What you'll get from it
A simple, practical approach to reduce uncertainty early on and make safer product decisions. You’ll learn how to structure your discovery, capture the right signals from the field, and turn what you learn into concrete actions.
What you'll actually learn
- Turn a business challenge into actionable research questions
- Choose the right methods (qual/quant) based on goals and constraints
- Run effective interviews and observations
- Synthesize quickly into sourced insights and opportunity areas
- Translate findings into product decisions
- Build consistency with core ResearchOps foundations
- Use AI as a copilot without losing rigour
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.
Discovery framing
Define the problem, objective, assumptions, and key decisions to validate.
Method selection
Select qualitative and quantitative approaches suited to the context, timing, and risk level.
Study design
Prepare the protocol, the guide, the 'sufficient' sample, and the organization (planning/tooling).
Fieldwork workshops
Conduct short interviews and/or observations to gather actionable insights.
Synthesis & decision-making
Aggregate signals, formulate data-driven insights, and translate into opportunities.
Readout & product decisions
Share a clear summary, formalize decisions, and define the next steps.
Take away some practical tools
A Discovery research plan + a ResearchOps starter kit
