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Actor Audition Experience Feedback Survey

Captures how actors experienced your casting process — clarity of materials, professionalism in the room, and fairness of communication — for casting directors and production teams who want to protect their reputation with talent. The AI follow-up digs into the single best or worst moment of the audition to find out exactly what happened and why.

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Sample questions

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

13 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to share how your audition went with (Replace with production/casting company name). Your feedback is confidential and helps us run a better process for every actor who walks in the door. About 5 minutes.

Q02
Multiple Choice

How did you find out about this audition?

  • Talent agent or manager
  • Casting website/breakdown service
  • Direct submission
  • Referral from another actor
  • Other
Q03
Multiple ChoiceRequired

Which best describes the format of this audition?

  • In-person initial audition
  • Self-tape submission
  • Live virtual/video call
  • In-person callback
  • Other
Q04
Opinion ScaleRequired

How clear and complete were the audition materials (sides, character breakdown, self-tape instructions) provided beforehand?

Scale: 1 – 7
Min:Not clear at allMax:Extremely clear
Q05
MatrixRequired

Rate the following aspects of your audition day.

5 rows × 5 columns
  • Started on/near the scheduled time
  • Direction or adjustments given in the room
  • Respect shown for your time
  • Professionalism of casting staff
  • Comfort of the waiting area/environment
Columns: Poor · Fair · Good · Very good · Excellent
Q06
Rating Scale

How would you rate the clarity of any direction or adjustments given to you during the audition?

Range: 1 – 5
Min:ConfusingMax:Crystal clear
Q07
Multiple ChoiceRequired

Before you left (or logged off), did you receive a clear sense of next steps?

  • Yes, a clear timeline for callbacks/decision
  • A vague mention with no timeline
  • No mention of next steps at all
Q08
Opinion ScaleRequired

How likely are you to recommend auditioning for this casting team or production to another actor?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
AI Interview

Reconstruct the single most positive or most frustrating moment of this audition experience for the respondent — what specifically happened, who was involved, and how it affected their performance or morale. If they rated 'respect for time' or 'clarity of next steps' low in the matrix or multiple-choice question, probe exactly what went wrong and what they wish had happened instead. If everything was rated highly, probe what specifically stood out as exceptional so it can be repeated for other actors.

Q10
Long Text

If you could change one thing about how this audition was run, what would it be?

Q11
Multiple Choice

How many years have you been auditioning professionally?

  • Less than 1 year
  • 1-3 years
  • 4-9 years
  • 10+ years
  • Prefer not to say
Q12
Multiple Choice

What is your union status?

  • SAG-AFTRA/union member
  • Not currently union
  • Other union
  • Prefer not to say
Q13
Message

That's everything — thank you for your honesty. Your responses are reviewed as a batch to improve scheduling, communication, and the in-room experience for every actor who auditions with us.

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

  • Uses an AI follow-up interview to reconstruct the single best or worst moment of the audition, uncovering exactly what happened and why rather than leaving it to a blank comment box.
  • Combines structured ratings (opinion scales, a matrix on audition-day aspects, a rating on direction clarity) with open-ended reflection so casting teams get both benchmarkable scores and rich context.
  • Segments respondents by years auditioning professionally and union status, letting production teams see if experience level or union standing shapes perceptions of fairness or professionalism.
  • Closes with a clear next-steps check and a likelihood-to-recommend question, giving casting directors a direct read on reputational risk with talent.

Jotform

Acting Audition Form Template

This is a static intake/submission form for actors applying to or scheduling an audition, not a post-audition feedback survey. It's fielding-ready and customizable within Jotform's builder, but it's built to collect actor details rather than to gauge how the audition experience actually felt. Casting teams would need to build a separate feedback flow to capture talent sentiment.

What it does well

  • Ready-to-use, customizable form builder with drag-and-drop fields
  • Familiar Jotform ecosystem (file uploads, e-signatures, integrations) useful for collecting headshots/resumes
  • Free to start, widely used by casting offices

Where it falls short

  • Static question set with no adaptive AI follow-up to probe a specific moment or complaint
  • No built-in per-response quality scoring or automated experience reporting
  • Not designed to measure post-audition fairness/professionalism sentiment — it's an intake form, not a feedback instrument

Typeform

Acting Audition Form

Typeform's version is also oriented around collecting audition submissions or applications in a conversational, one-question-at-a-time format, rather than surveying talent about how an audition day went. It's a polished, fielding-ready form, but it doesn't address clarity, professionalism, or fairness of the casting process. Any follow-up on a specific answer would require manual logic branching, not true adaptive questioning.

What it does well

  • Clean, conversational UI that likely improves completion rates for actor submissions
  • Easy embedding and sharing, consistent with Typeform's brand
  • Logic-jump branching for basic conditional paths

Where it falls short

  • No AI-driven follow-up interview — branching logic is manually authored, not adaptive to open-text answers
  • No voice interview option or guided screen-share tasks
  • No automated quality scoring or auto-generated experience report; results would need manual review

Ready to launch?

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

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