What do they really think?
Participants respond honestly - and you see the patterns as they emerge. No post-processing. No spreadsheet to clean up. Ready to use the moment the session ends.
Most tools hand you a bar chart when everyone has gone home. DiBL shows you patterns as they emerge - so the data informs the conversation, not just the report you write afterward.
What you see during the session is what you get after it. No export to clean, no reformatting for stakeholders. The data is structured, filtered and ready from the moment the session ends.
One session is an event. Ten sessions is evidence. DiBL keeps all your data in one place so you can compare cohorts, track change over time and build a picture that actually means something.
Each format generates a different kind of insight. Together they give you a richer picture than any single method can - attitude, knowledge, decision-making and behaviour in one session.
reveal what stated surveys don't
- not curated by the facilitator
- no self-report bias
- the before/after comparison starts here
The data we collect through DiBL provides us with important knowledge about young people's wellbeing, perspectives and challenges - which strengthens both our lecture activities and our work to create better conditions for girls and young women.
Most session tools hand you a single chart at the end. DiBL gives you a data layer you can actually work with - filtered by cohort, compared across time, and ready to drop into a stakeholder update without reformatting a single cell.
Data and learning aren't separate choices - every DiBL session delivers both. See how the formats work as learning tools, how to design a session arc, and what good facilitated learning looks like.
Explore learning formats