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Clinical Supervision Quality & Effectiveness Survey

Gathers clinicians' honest experience of the clinical supervision they receive — safety to disclose mistakes, usefulness of feedback, and depth of case discussion — for supervisors, training directors, or agencies auditing supervision quality. An AI follow-up interview reconstructs what happened in the most recent supervision session instead of relying on general impressions.

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Sample questions

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

14 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to reflect on your clinical supervision. Your honest answers help improve how supervision is delivered — this takes about 8 minutes and your individual responses are kept confidential.

Q02
Multiple ChoiceRequired

In what format do you primarily receive clinical supervision?

  • One-on-one (individual)
  • Group supervision
  • Peer consultation
  • A mix of formats
Q03
Multiple ChoiceRequired

In the last 30 days, how many supervision sessions have you attended?

  • None
  • 1
  • 2-3
  • 4-6
  • More than 6
Q04
Opinion ScaleRequired

Overall, how would you rate the quality of the clinical supervision you've received in the last month?

Scale: 1 – 10
Min:Very poorMax:Excellent
Q05
MatrixRequired

How much do you agree with each statement about your current supervisor?

5 rows × 5 columns
  • I feel safe disclosing mistakes or uncertainty without fear of judgment
  • Feedback I receive is specific enough to change how I practice
  • Sessions include enough time discussing actual client cases (not just administrative matters)
  • My supervisor helps me develop clinical skills, not just manage caseloads
  • Cultural, ethical, or diversity considerations are meaningfully addressed when relevant
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q06
Rating ScaleRequired

How clear and actionable is the feedback you typically receive after a case discussion?

Range: 1 – 5
Min:Vague, hard to applyMax:Crystal clear, immediately usable
Q07
Best–Worst Trade-off (MaxDiff)Required

Which of the following would most improve your clinical supervision, and which matters least right now?

  • More time discussing specific client cases
  • More concrete, skill-focused feedback
  • More emotional/personal support around burnout
  • More guidance on ethical or risk situations
  • More attention to cultural and diversity issues
  • More flexibility in scheduling sessions
  • Better balance between clinical and administrative topics
  • More opportunities for peer or group input
Pick best & worst per setBest:Would improve supervision mostWorst:Matters least right now
Q08
Opinion ScaleRequired

How comfortable do you feel raising a case where you're unsure you handled something correctly?

Scale: 1 – 7
Min:Very uncomfortableMax:Completely comfortable
Q09
AI Interview

Reconstruct the respondent's most recent supervision session in detail: what case or issue they brought, what feedback the supervisor gave, and whether it changed how they handled the client afterward. If they rated psychological safety or feedback clarity low, probe specifically what happened that made them hesitant or what feedback felt too vague, and what they wish had been said instead.

Q10
Long Text

Is there anything about your supervision experience that the questions above didn't capture?

Q11
Multiple Choice

What is your primary clinical discipline?

  • Psychology
  • Counseling/Marriage & Family Therapy
  • Social Work
  • Nursing
  • Psychiatry
  • Other
  • Prefer not to say
Q12
Multiple Choice

How many years have you been practicing in your field?

  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8-15 years
  • More than 15 years
  • Prefer not to say
Q13
Multiple Choice

What is your primary practice setting?

  • Community mental health
  • Private practice
  • Hospital/inpatient
  • School or university
  • Government/correctional
  • Other
  • Prefer not to say
Q14
Message

Thank you for sharing your experience. Responses will be aggregated into a report used to strengthen supervision practices — no individual answers will be shared with your supervisor.

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 an AI follow-up interview that reconstructs the respondent's most recent supervision session in detail, rather than relying on generic recall questions
  • Combines structured measurement (opinion scales, a matrix on supervisor behaviors, a rating on feedback clarity, and a max-diff on improvement priorities) with open-ended reflection
  • Asks directly about psychological safety to disclose mistakes and comfort raising uncertain cases, which is central to supervision quality auditing
  • Captures discipline, experience level, and practice setting so training directors can segment results by clinician subgroup

Jotform

Clinical Supervision Form Template

This is a customizable form-builder template, more oriented toward administrative documentation of supervision sessions than a research-grade survey instrument. It offers drag-and-drop editing and integrations typical of Jotform's form suite, but it does not appear structured around measuring supervision quality or clinician disclosure comfort specifically.

What it does well

  • Easy drag-and-drop customization typical of Jotform forms
  • Can integrate with Jotform's broader form ecosystem (notifications, storage, e-signatures)
  • Quick to deploy for basic session logging

Where it falls short

  • Static form fields only — no adaptive follow-up questioning to reconstruct session details
  • No mention of automated quality scoring or per-response analysis
  • No transparent AI prompt methodology since it is not an AI-driven tool

QuestionPro

Clinical Supervision Survey Questions + Sample Questionnaire Template

This page reads as a sample-questions/guide resource showcasing example clinical supervision survey items rather than a ready-to-field template with a defined flow. It's useful for question inspiration but requires manual assembly into an actual fielded survey. QuestionPro's platform supports standard survey logic, but this page doesn't indicate any adaptive interview capability.

What it does well

  • Provides sample question wording clinicians and researchers can reference
  • Backed by QuestionPro's established survey platform with standard branching logic
  • Likely covers common supervision topics for quick question-bank reuse

Where it falls short

  • Presented as a question list/guide rather than a fielding-ready survey flow
  • No adaptive AI follow-up to reconstruct a specific recent session
  • No automated per-response quality scoring or auto-generated audit reports mentioned

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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