End-to-End Path
Visible
Invited → viewed → started → submitted.
Statistics & Tracking
Harmate tracks the real questionnaire journey: views, starts, active time, resumptions, drop-offs, and response quality. You know where to act before data quality degrades.
Displayed figures are demonstration data, designed to show the friction points to monitor.
End-to-End Path
Visible
Invited → viewed → started → submitted.
Active Time per Question
Measured
Identify questions that slow down respondents.
Friction Points
Flagged
High drop-off, low quality, or fragile channel.
Friction Point
A questionnaire degrades through small signals: a question that slows people down, a channel that drops off, resumptions that pile up. Harmate makes those signals visible before the decision.
Drop-Off
The funnel shows whether respondents leave before starting, during a question, or just before submission.
Slowdown
Active time per question reveals what requires too much effort, clarification, or rereading.
Resume
Resumptions are not buried in total time: they become a clue about the questionnaire's real difficulty.
Goal: adjust the questionnaire or follow-up before interpreting incomplete results.

You see the volume actually exposed to the questionnaire by email, social network, or direct link. A copied link and a QR code are currently attributed to the direct channel and are not compared separately.
The view rate separates a distribution problem from a questionnaire problem.
Active time per question reveals instructions that slow people down or discourage them.
Interruptions and returns indicate whether the path remains workable in real conditions.
At the end, you know whether results rely on enough participation and usable responses.
See how many respondents move from invitation to view, to start, then to submission. Compare rates by email, social network, or direct link. QR codes and copied links remain grouped in the direct channel.
Identify questions where respondents spend the most time or drop off. Optimize wording accordingly.
Automatically spot questions causing the most drop-offs and get alerts when the rate exceeds a critical threshold.
Respondents can stop and resume later. The system distinguishes pause time from active response time.
Each response gets a quality score based on question coverage, text response length and weak signal detection.
Get automatically alerted for mass drop-offs, degraded quality or underperforming channels. High, medium or low severity.
Automatic narrative synthesis of text responses powered by AI: overall sentiment, dominant themes and score out of 10.
Segment all statistics by channel, device, browser, operating system or custom time period.
Track the respondent journey, spot friction, and act before result quality drops.