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Conference Speaker & Session Evaluation Survey

Captures how attendees rate a speaker's clarity, expertise, and engagement right after a session, plus whether the content met expectations — with an AI follow-up that digs into the specific moment behind their recommendation score. Built for event organizers, L&D teams, and conference producers deciding which speakers to invite back.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

Thanks for attending (Replace with speaker name)'s session on (Replace with session topic) at (Replace with event name)! We'd love your honest feedback on the speaker and content — about 7 minutes. Your answers help us book better speakers and improve future sessions.

Q02
Opinion ScaleRequired

Overall, how would you rate this session?

Scale: 17
Min:PoorMax:Excellent
Q03
MatrixRequired

How much do you agree with each of the following about the speaker?

5 rows × 5 columns
  • Explained concepts clearly
  • Demonstrated deep knowledge of the topic
  • Kept the audience engaged
  • Paced the session appropriately
  • Handled questions well
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q04
Rating ScaleRequired

How relevant was the content to your work or interests?

Range: 15
Min:Not relevant at allMax:Extremely relevant
Q05
Opinion ScaleRequired

How likely are you to recommend this speaker to a colleague?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q06
Multiple ChoiceRequired

Which best describes how this session compared to your expectations?

  • Fell short of expectations
  • Met expectations
  • Exceeded expectations
Q07
Ranking

Rank these aspects of the session by how much value they added for you (most valuable first).

  1. New information or insights
  2. Practical takeaways or tools
  3. Real-world examples or case studies
  4. Q&A / audience interaction
  5. Speaker's presentation style
Drag to rank
Q08
AI Interview

Probe the reasoning behind the respondent's recommendation score for the speaker. Anchor on a specific moment in the session — a slide, story, or answer — that shaped their rating. If the score was low, find out precisely what fell flat (content, delivery, pacing, or relevance) and what would have changed their mind. If the score was high, find out what they'd tell someone deciding whether to attend this speaker's next session.

Q09
Long Text

What's one thing this speaker could do differently to improve future sessions?

Q10
Multiple ChoiceRequired

Would you attend another session by this speaker?

  • Yes
  • No
  • Maybe, depends on the topic
Q11
Multiple Choice

Which best describes your current role?

  • Individual contributor
  • Manager
  • Director / VP
  • C-suite / Executive
  • Student
  • Prefer not to say
Q12
Message

Thanks for sharing your feedback! We'll combine your ratings and comments with other attendees' responses to help choose and coach speakers for future events.

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

  • Includes a dedicated AI follow-up interview step that probes the specific moment behind each attendee's recommendation score, rather than stopping at a static number.
  • Combines standard rating formats (opinion scale, matrix, rating, ranking) with an open-ended long-text question, giving organizers both quantifiable scores and qualitative context in one flow.
  • Captures role-based segmentation and 'would attend again' intent alongside expectation-comparison, so organizers can see how different attendee types (e.g., practitioners vs. managers) rated the same speaker.
  • Closes with a transparent, personalized chat message confirming how responses will be aggregated into a report — set expectations without hiding the process.

Jotform

Speaker Evaluation Form Template

A fielding-ready drag-and-drop form covering standard speaker evaluation criteria like clarity and knowledge. It's built on Jotform's general form builder, so customization is flexible but every respondent sees the same static question set. No mechanism for probing deeper into any individual answer.

What it does well

  • Easy drag-and-drop customization within Jotform's builder
  • Likely integrates with Jotform's broader form ecosystem (payment, storage, notifications)
  • Quick to deploy for basic post-session feedback

Where it falls short

  • Static question set with no adaptive follow-up based on a respondent's specific answer
  • No automated quality scoring of open-ended responses
  • No published methodology for how questions were derived or scored

SurveySparrow

Speaker Evaluation Form Template

A conversational-style template that presents speaker evaluation questions one at a time for a more engaging feel than a traditional form. It covers similar rating dimensions but each respondent moves through a fixed script rather than a dynamically branching interview. Reporting is likely dashboard-based rather than narrative.

What it does well

  • Conversational one-question-at-a-time UI improves completion feel vs. long forms
  • Templated for events specifically, not a generic form
  • Likely offers basic branching/skip logic based on prior answers

Where it falls short

  • No adaptive AI interviewer that probes the reasoning behind a specific score in real time
  • No voice-based interview option
  • No per-response automated quality scoring for open-ended text

Typeform

Speaker Evaluation Form Template

A polished, conversational-style template known for Typeform's signature one-question-per-screen design and strong visual presentation. It's ready to field but relies on pre-set logic jumps rather than a true AI-driven follow-up that adapts to open-text reasoning. Reporting is largely aggregate stats rather than synthesized narrative insight.

What it does well

  • High design polish and strong completion rates typical of Typeform forms
  • Simple logic-jump branching based on multiple-choice answers
  • Easy embedding and sharing across event channels

Where it falls short

  • No adaptive AI follow-up that dynamically probes the 'why' behind a recommendation score
  • No voice AI interview mode or guided screen-share tasks
  • No automated, per-response quality scoring of write-in answers

QuestionPro

Conference Evaluation Survey Questions + Sample Questionnaire Template

This is more of a guide-plus-sample-questionnaire page covering whole-conference feedback (venue, logistics, sessions) than a single speaker-focused, fielding-ready template. It's useful for question ideas but broader in scope than a per-session speaker evaluation, and requires manual setup before it's actually deployable. No adaptive interviewing is mentioned or implied.

What it does well

  • Broad coverage of overall conference logistics and satisfaction, not just speaker performance
  • Likely offers many sample question variations to choose from
  • Backed by QuestionPro's established survey analytics platform

Where it falls short

  • Framed as a sample question list/guide rather than a ready-to-field speaker-specific template
  • No adaptive AI follow-up interview tied to an individual speaker recommendation score
  • No automated quality scoring or transparent AI-prompt methodology published

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.