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Call-Back Option Experience Survey

Evaluates how well your 'request a call back instead of waiting on hold' feature performs in practice — whether the promised wait time held up, whether agents had context when they called, and whether the issue actually got resolved. An AI follow-up interview reconstructs exactly what happened during the call-back moment, not just how the customer rated it.

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Sample questions

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11 questions · ~6 min
Q01
Message

Thanks for taking a minute to tell us about your recent call-back experience with our support line. This helps us make waiting for a call back actually worth it. About 7 minutes.

Q02
Multiple ChoiceRequired

What was your primary reason for choosing a call back instead of staying on hold?

  • The estimated hold time was too long
  • I had other things to do and couldn't stay on the line
  • It just seemed more convenient
  • I've had bad experiences waiting on hold before
  • Other
Q03
Opinion ScaleRequired

Compared to the wait time you were told to expect, how did the actual wait for your call back compare?

Scale: 1 – 5
Min:Much shorter than promisedMax:Much longer than promised
Q04
Multiple ChoiceRequired

Did you receive the call back within the time window you were given?

  • Yes, right on time
  • Yes, but later than promised
  • No — I ended up calling back myself
  • I wasn't given a specific time window
Q05
Rating ScaleRequired

How would you rate the quality of the call-back conversation itself, once you connected with an agent?

Range: 1 – 5
Min:PoorMax:Excellent
Q06
MatrixRequired

How much do you agree with each statement about your call-back experience?

4 rows × 5 columns
  • The agent already had context from my original call
  • I didn't have to repeat information I'd already given
  • My issue was resolved on that call back
  • The overall process felt smooth and organized
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q07
Opinion ScaleRequired

How likely are you to use the call-back option again instead of waiting on hold?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview

Reconstruct exactly what happened around this respondent's call back: how long they actually waited versus what they were promised, whether the agent seemed to already know their situation, and whether their issue got resolved without repeating themselves. If the call back was late or they had to call in themselves, dig into what that felt like and whether it changed their trust in the feature. If they said they wouldn't use it again, find out specifically why.

Q09
Multiple Choice

In the last 3 months, how often have you contacted this company's support line?

  • This was my first time
  • 2-3 times
  • 4-6 times
  • More than 6 times
Q10
Multiple Choice

Which age range do you fall into?

  • Under 25
  • 25-34
  • 35-44
  • 45-54
  • 55-64
  • 65 or older
  • Prefer not to say
Q11
Message

That's everything — thank you! Your answers feed directly into a review of our call-back process, from wait-time accuracy to agent handoffs.

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 exactly what happened during the call-back moment — how long the customer actually waited, whether the agent had context, and whether the issue got resolved — not just a satisfaction score
  • Combines a quick multiple-choice check on whether the promised call-back window was honored with an opinion-scale comparison of expected vs. actual wait, so gaps between promise and delivery surface directly
  • A matrix question captures agreement across multiple experience statements in one pass, paired with a likelihood-to-reuse scale to gauge whether the call-back option is actually working as a hold-time alternative
  • Automated quality scoring and an auto-generated report turn these responses into a structured review of the call-back feature, rather than leaving raw ratings for someone to interpret manually

Jotform

Call Back Form Template

This is a static intake form for customers to request a call back, not a post-experience survey — it captures contact details and preferred time rather than evaluating how a completed call-back interaction went. It's fielding-ready as a lead-capture form and benefits from Jotform's large customizable template library and integrations.

What it does well

  • Easy drag-and-drop customization within a large template ecosystem
  • Simple to embed on a support or contact page for capturing call-back requests
  • Backed by broad third-party integrations common to Jotform's platform

Where it falls short

  • Built to collect a call-back request, not to evaluate whether a past call-back experience met expectations
  • No adaptive follow-up questioning — it's a fixed field set with no ability to probe deeper on individual answers
  • No mechanism for reconstructing what actually happened on the call or scoring response quality

SurveySparrow

Call Back Form Template

A conversational-style form for logging call-back requests, positioned to 'boost customer interactions' rather than to audit an already-completed call-back experience. It's a usable request-capture template but doesn't probe wait-time accuracy, agent context, or resolution outcomes.

What it does well

  • Conversational, one-question-at-a-time format that feels less like a static form
  • Positioned within a broader customer-interaction template suite
  • Likely supports basic branching logic typical of SurveySparrow's builder

Where it falls short

  • Focused on capturing a call-back request rather than assessing whether a delivered call back met the promised wait time or resolved the issue
  • No adaptive AI interview to reconstruct the specifics of what happened during the call
  • No published methodology for how responses are scored or interpreted

Typeform

Call Back Form Template

A clean, conversational form for collecting call-back requests, similar in purpose to the Jotform and SurveySparrow entries — good for capturing contact preferences but not designed to evaluate a completed call-back experience against what was promised. It's fielding-ready as a request form, not an experience audit.

What it does well

  • Polished, mobile-friendly conversational UI typical of Typeform
  • Quick to set up for basic call-back request capture
  • Supports simple logic jumps for branching on request type

Where it falls short

  • No mechanism to compare promised vs. actual wait time or verify whether the call-back window was honored
  • Lacks adaptive AI follow-up to dig into what happened once the agent called
  • No automated quality scoring or auto-generated reporting on the call-back experience itself

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