All templates
Industry-Specific

Agile Sprint Retrospective Feedback Survey

Captures how a development team felt about the sprint that just ended — goal completion, planning accuracy, collaboration, and workload sustainability — with an AI follow-up that digs into the real story behind blockers and missed goals instead of the sanitized version teams give in stand-up.

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 taking a few minutes for this sprint retrospective! Your honest input helps the team improve how we plan and work together. Your responses are completely confidential and anonymized. This should take about 4-5 minutes.

Q02
Opinion ScaleRequired

Overall, how satisfied are you with how this sprint went?

Scale: 17
Min:Very dissatisfiedMax:Very satisfied
Q03
Multiple ChoiceRequired

Did the team complete the sprint goal?

  • Yes, fully
  • Mostly, with minor gaps
  • Partially
  • No, we missed it significantly
Q04
MatrixRequired

How much do you agree with each statement about this sprint?

5 rows × 5 columns
  • Sprint planning estimates were realistic
  • Blockers were identified and resolved quickly
  • Communication within the team was clear
  • Work was distributed fairly across the team
  • Requirements were clear before we started
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Best–Worst Trade-off (MaxDiff)Required

Looking at this sprint, which factors helped progress the most, and which hurt it the most?

  • Clear requirements going in
  • Daily stand-ups
  • Pairing or code review support
  • Tooling / CI-CD reliability
  • Cross-team dependencies
  • Mid-sprint scope changes
  • Meeting load
  • Documentation quality
Pick best & worst per setBest:Helped mostWorst:Hurt most
Q06
Rating ScaleRequired

How sustainable was the pace of work this sprint?

Range: 15
Min:Not sustainable, we were stretched thinMax:Very sustainable
Q07
Short Text

In one sentence, what was the single biggest blocker this sprint?

Q08
AI Interview

Probe the real story behind this sprint's outcome. If the goal was missed or only partially met, find out at what point it became clear it was at risk and whether that was raised early or discovered late. Anchor on their stated biggest blocker and any low agreement/disagreement ratings from the sprint statements, and ask what would need to change next sprint to prevent the same issue. If they rated the sprint highly across the board, ask what specifically the team should keep doing.

Q09
Opinion ScaleRequired

How confident are you in the plan for next sprint?

Scale: 15
Min:Not confident at allMax:Extremely confident
Q10
Multiple Choice

What is your role on this team?

  • Engineer / Developer
  • QA / Test
  • Product Manager
  • Designer
  • Scrum Master / Team Lead
  • Other
Q11
Multiple Choice

How long have you been on this team?

  • Less than 3 months
  • 3-12 months
  • 1-2 years
  • More than 2 years
  • Prefer not to say
Q12
Message

That's everything — thank you! Your responses feed directly into the team's retrospective discussion and next sprint's planning.

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 real story behind missed or partially completed goals, going beyond the surface-level answer given in stand-up
  • Combines structured measurement (opinion scale for satisfaction, rating for pace sustainability, matrix for agreement statements, max diff for what helped vs. hurt progress) with open-ended short text on blockers
  • Segments respondents by role and tenure on the team, so retro feedback can be analyzed by context (e.g., new joiners vs. veterans)
  • Closes with an automated report generation step so the team retro data feeds directly into a usable summary rather than raw spreadsheet exports

SurveyMonkey

Sprint Retrospective Questions Template

A ready-to-field template with a preset list of sprint retrospective questions, backed by SurveyMonkey's established survey infrastructure and analytics dashboard. It's a static question set aimed at general survey builders rather than one designed specifically for agile teams' nuanced blocker/goal-completion dynamics. No mention of any conversational or adaptive follow-up capability.

What it does well

  • Mature, well-known survey platform with broad distribution options
  • Built-in analytics and reporting dashboard
  • Simple to deploy quickly for teams already using SurveyMonkey

Where it falls short

  • Static question list with no adaptive AI follow-up to probe missed goals or blockers further
  • No voice interview or guided screen-share task option
  • No published methodology on how questions were validated or scored

Jotform

Agile Retrospective Form Template

A drag-and-drop form template positioned within Jotform's broader form-builder ecosystem, useful for quickly customizing field types and layout. It reads as a form-building starting point rather than a purpose-built research instrument with scoring or analysis logic. No indication of any AI-driven interviewing or automated quality scoring of responses.

What it does well

  • Highly customizable via Jotform's drag-and-drop builder
  • Easy integration with other Jotform workflows and apps
  • Free tier available for basic form usage

Where it falls short

  • No adaptive AI interview to dig past sanitized stand-up answers
  • No automated per-response quality scoring
  • Static form fields only, with no follow-up logic tied to specific answers like missed sprint goals

Typeform

Retrospective Survey Template

A conversational-style, one-question-at-a-time survey template that offers a more engaging respondent experience than a traditional form. However, the flow is still pre-scripted rather than dynamically generated, and the page doesn't indicate any capability to ask context-aware follow-up questions based on a given answer. It's a general retrospective template, not one tailored to sprint-specific concepts like planning accuracy or velocity.

What it does well

  • Polished, conversational UI that can improve completion rates
  • Simple template structure that's easy to brand and customize
  • Established platform with broad integrations

Where it falls short

  • No adaptive AI follow-up interview or voice AI option to probe blockers in depth
  • No automated quality scoring of individual responses
  • No transparent published prompts or methodology behind question design

Ready to launch?

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

Related templates

More studies from the same category.

See all
Industry-Specific

Online Social Networking Habits & Wellbeing Survey

Explores how people actually use social networking platforms — which ones, how much, why, and how it affects their day-to-day wellbeing. Includes a best-worst trade-off on core motivations and a feature-priority ranking, plus an AI follow-up that reconstructs a specific recent moment the respondent almost quit or actually quit a platform, and what changed their mind.

View template
Industry-Specific

Job Fair Registration & Candidate Interest Survey

Captures what job seekers are looking for before a job fair — target industries, role types, format preferences, and what actually drives them to stop at a booth — with an AI follow-up that surfaces the real career goals and hesitations behind their answers. Built for recruiters and event organizers planning employer lineups and floor layout.

View template
Industry-Specific

Neighborhood Livability and Community Feedback Survey

Captures how residents really feel about safety, upkeep, amenities, and community spirit where they live, with an AI follow-up that digs into the one issue affecting quality of life most. Built for city planners, HOAs, and community organizations tracking neighborhood health over time.

View template
Industry-Specific

Fun Run Registration Experience & Pricing Survey

Captures why participants signed up for your fun run, how smooth the online registration and payment process felt, and what entry fee feels fair to them — with an AI follow-up that digs into the specific friction points behind low ease-of-registration ratings. Built for race organizers and event marketers refining sign-up flow, communications, and pricing.

View template
Industry-Specific

Corporate Crisis Response Perception Survey

Measures how customers, employees, and other stakeholders perceived your company's official response to a recent incident or controversy — its clarity, credibility, and effect on trust — with an AI follow-up that uncovers exactly what shaped their reaction. Built for comms, PR, and exec teams evaluating crisis messaging.

View template
Industry-Specific

Big Game Day Fan Quiz & Ad Engagement Survey

A fun, quiz-style survey for sports marketers, broadcasters, and brands to gauge fan excitement, viewing habits, and commercial/halftime engagement around the year's biggest televised game. The AI follow-up reconstructs the specific ad or moment a fan actually remembers, not just whether they say ads matter.

View template