Q01
Message
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Activity & Session Evaluation Survey
A flexible feedback survey for workshops, trainings, retreats, or team activities — covering attendance, facilitator quality, content relevance, and likelihood to recommend, plus an AI follow-up that digs into the specific moment behind each recommendation score so organizers know exactly what to fix or repeat.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
13 questions · ~7 min
Q02
Multiple ChoiceRequired
How much of the session did you take part in?
- The entire session
- Most of it
- About half
- Less than half
- I did not attend
Q03
Opinion ScaleRequired
Overall, how would you rate this activity?
Scale: 1 – 10
Min:PoorMax:Excellent
Q04
Rating ScaleRequired
How would you rate the facilitator(s) or instructor(s) who led the session?
Range: 1 – 5
Min:Not effective at allMax:Extremely effective
Q05
MatrixRequired
How much do you agree with each of the following statements about the session?
5 rows × 5 columns
- The content was relevant to my needs
- The pace was appropriate
- The materials or handouts were useful
- The venue or format worked well
- I had enough opportunity to ask questions or participate
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Opinion ScaleRequired
How likely are you to recommend this activity to a colleague?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q07
Multiple Choice
Which single part of the session did you find most valuable?
- (Replace with session segment A, e.g., opening presentation)
- (Replace with session segment B, e.g., group exercise)
- (Replace with session segment C, e.g., Q&A/discussion)
- (Replace with session segment D, e.g., hands-on activity)
Q08
Ranking
Please rank these aspects of the session from most to least important for improving future sessions.
- Content or curriculum
- Facilitator delivery
- Pacing and length
- Venue and logistics
- Materials and handouts
- Opportunities for interaction
Drag to rank
Q09
AI Interview
Reconstruct the specific moment or activity that most shaped the respondent's recommendation score: what happened, what they were thinking or feeling, and why it mattered. If the score was very high (9-10), probe what made it a standout so it can be repeated. If it was low (0-6), probe exactly where the session lost them and what single change would have raised the score. Push past generic praise or complaints to a concrete example.
Q10
Long Text
What is one thing we could change to make this activity more valuable next time?
Q11
Multiple Choice
Which department or team are you part of?
- (Replace with Department A)
- (Replace with Department B)
- (Replace with Department C)
- Prefer not to say
Q12
Multiple Choice
How many similar activities or sessions have you attended in the past 12 months?
- This was my first
- 2-3
- 4-6
- 7 or more
- Prefer not to say
Q13
Message
That's everything — thank you for your feedback! Your responses will be combined with others to shape how we run these activities going forward.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Goes beyond static ratings with an AI follow-up interview that reconstructs the specific moment behind each recommendation score, so organizers know exactly what to fix or repeat
- Combines structured metrics (facilitator rating, agreement matrix, ranking of aspects to improve) with open-ended probing in a single flow
- Includes attendance and repeat-attendance filters (participation level, sessions attended in past 12 months) alongside department segmentation for cross-cutting analysis
- Auto-generates a report from responses, with transparent prompts showing how the AI follow-up was conducted — no manual theme-coding required
Jotform
Activity Evaluation Form TemplateA ready-to-use, fielding-ready form template for collecting feedback on activities, workshops, or events. It's built on Jotform's drag-and-drop form builder, so it's easy to customize fields and branding. However, it's a static form with no adaptive questioning or built-in analysis layer.
What it does well
- Fielding-ready template, not just a guide
- Easy visual customization via Jotform's form builder
- Likely supports standard field types (ratings, multiple choice, text) common to Jotform templates
Where it falls short
- Static form with fixed questions — no adaptive AI follow-up that probes the reasoning behind a score
- No voice AI interview option or guided screen-share tasks
- No automated per-response quality scoring or auto-generated analytical report
Typeform
Activity Evaluation Form TemplateA conversational, one-question-at-a-time template for gathering activity or event feedback, consistent with Typeform's polished UX. It's a deployable template rather than a guide, well-suited to simple satisfaction and rating questions. It lacks any mechanism to dynamically dig deeper into a specific respondent's answer.
What it does well
- Clean, conversational one-question-at-a-time interface
- Fielding-ready and easy to brand/customize
- Good for quick, low-friction feedback collection
Where it falls short
- No adaptive AI interviewing — follow-up logic is limited to simple branching, not open-ended probing of a specific moment
- No voice AI interview or guided task/screen-share capability
- No automated quality scoring of responses or auto-generated report synthesizing themes
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.