The problem with predefined boxes
When you use multiple-choice questions or linear scales, you force participants to pick the "least bad" answer. You do not collect who they are, only what they agree to tick.
Human nuance does not fit on a 1 to 10 scale. Harmate uses AI so you can ask open questions at scale without being overwhelmed by response analysis.
Why the classic "form" is a trap
When you use multiple-choice questions or linear scales, you force participants to pick the "least bad" answer. You do not collect who they are, only what they agree to tick.
Free expression, structure the analysis
With Harmate, you ask questions like in a real conversation:
Our technology does not just read words, it understands their meaning.
Real-time analysis example:
Reading
The algorithm analyzes each participant's free text.
Extraction
It identifies key skills, personality traits (soft skills), and underlying emotions.
Structure
It turns these qualitative nuances into objective grouping criteria.
The difference between sorting and understanding
Why switching to open questions changes everything
The questionnaire becomes the first step of your training or event. By expressing themselves freely, participants feel heard and valued before day one.
Let information emerge that you would never think to ask for. An unusual passion, a specific logistical constraint, or a rare skill surfaces on its own.
No more groups built on assumptions. Your teams are formed based on real psychological and technical complementarities.
Discover what your participants really have to say. Create your first open-ended questionnaire now.