From vague problem to sharp hypothesis
The AI assistant helps the team sharpen the problem, challenge assumptions and formulate a testable hypothesis with measurable criteria.
Stop guessing in spreadsheets. EXPstudio is the first digital learning engine built to safely guide your teams through the entire experimental process. The tool forces you to think like researchers: From unclear problem to sharp hypothesis, safe design, clean analysis, and shared learning.


What
A guided "wizard" that forces you to define your baseline, map your assumptions (Assumption Map), and formulate a sharp, testable hypothesis (IF-THEN-BECAUSE).
Why
Stops wasting time on bad ideas. Ensures you always test the most important thing first.
What
A design module that forces you to define control groups, reversibility, and "Guardrails" (safety nets) before you can start a test.
Why
Removes the fear of acting. Gives leaders the confidence they need to give teams freedom to test.
What
A "Learning Card" that forces the team to make a clear decision (Stop, Change, Scale) and automatically archives the learning in a searchable "Book of Failures & Success".
Why
Ensures knowledge is shared and that the organization never pays for the same mistake twice.
EXPstudio is not designed in a meeting room or a basement. It's the digital result of 25 years of practical experience transforming organizations and countless conversations. It's the tool we ourselves have been missing in all our years as advisors.
EXPstudio is a digital learning engine for organisations that want evidence rather than gut feeling. The platform guides teams through six phases and captures both data and learning along the way.
The AI assistant helps the team sharpen the problem, challenge assumptions and formulate a testable hypothesis with measurable criteria.
Assumptions are collected in a shared bank and prioritised by uncertainty and consequence, so you test what could actually break the idea.
The risk barometer assesses blast radius and reversibility, so experiments are designed safely and approved quickly.
The learning phase documents results, reflection and double-loop learning, turning insight into organisational knowledge.
Dashboards show status, progress and decisions across experiments so the portfolio can be steered by learning pace.
The platform supports Danish, English, Swedish and Norwegian and works for internal teams as well as advisors across companies.