EXPstudio: From Analysis Paralysis to Learning Action

    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.

    EXPstudio software interfaceEXPstudio dashboard preview

    A Tool Built to Create Culture

    Phase 1 & 2 (From Problem to Hypothesis)

    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.

    Phase 3 & 4 (Safe Design)

    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.

    Phase 5 & 6 (From Data to Learning)

    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.

    Built by Practitioners for Practitioners

    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.

    Ready to See the Engine in Action?

    What you can do with EXPstudio

    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.

    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.

    Mapping and prioritisation

    Assumptions are collected in a shared bank and prioritised by uncertainty and consequence, so you test what could actually break the idea.

    Experiment design with risk control

    The risk barometer assesses blast radius and reversibility, so experiments are designed safely and approved quickly.

    Reusable learning

    The learning phase documents results, reflection and double-loop learning, turning insight into organisational knowledge.

    Overview for leadership

    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.