Q01
Message
All templates
Change Readiness & Adoption Pulse
Before a reorg, tooling migration, or new process lands, measure whether people understand it, believe in it, and feel equipped for it — the three things that decide adoption. The AI interviewer surfaces the concerns people won't put in a comment box, anonymously.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
9 questions · ~6 min
Q02
Opinion ScaleRequired
How well do you understand WHAT is changing and when?
Scale: 1 – 5
Min:I couldn't explain itMax:I could explain it to a colleague
Q03
Opinion ScaleRequired
How convinced are you of WHY this change is happening?
Scale: 1 – 5
Min:It seems unnecessaryMax:The case is compelling
Q04
Opinion ScaleRequired
How equipped do you feel to work the new way — skills, tools, and time to adjust?
Scale: 1 – 5
Min:Not equipped at allMax:Fully equipped
Q05
Opinion ScaleRequired
How confident are you in leadership's ability to deliver this change well?
Scale: 1 – 5
Min:Not confidentMax:Very confident
Q06
Multiple ChoiceRequired
What worries you most about this change?
- More work during the transition
- Losing things that work well today
- Unclear impact on my role
- We've tried this before and it didn't stick
- The timeline is unrealistic
- Nothing — I'm looking forward to it
Q07
Multiple ChoiceRequired
Where did you learn most of what you know about the change?
- Official announcements or all-hands
- My manager
- Hallway conversation and rumor
- I've barely heard anything
Q08
AI Interview
Explore readiness honestly and anonymously: what they believe will REALLY happen versus the official story, a past change effort that shaped their expectations here, the one thing leadership could do in the next month that would most increase their confidence, and what they personally need (training, time, clarity) to work the new way. Be a neutral listener, never defend the change.
Q09
Message
Thank you. Results go to the change team as aggregate readiness scores and anonymized themes — including the concerns that usually stay in the hallway.
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
- Measures the three things that decide adoption — understanding, belief, and capability — in a 4-minute anonymous pulse
- A rumor-channel diagnostic reveals whether people learned about the change from leadership or the hallway
- The anonymous AI interview captures what people believe will REALLY happen — concerns that never reach a comment box
- Leadership-confidence and concern items localize exactly where the change effort is leaking trust
AIHR
How To Conduct a Change Readiness Assessment [+ Template]A structured HR-practitioner package: a readiness summary, stakeholder analysis, a change-readiness questionnaire, and a prioritization matrix, organized around seven readiness dimensions (awareness, motivation, capability, leadership support, resources, culture/communication, commitment) with Likert-scored sample questions. Very strong framework and downstream action planning, but delivered as static Excel with no adaptive interview or auto-report.
What it does well
- Clear seven-dimension readiness framework (awareness, motivation, capability, support, resources, culture, commitment)
- Bundles four artifacts: readiness summary, stakeholder analysis, questionnaire, and prioritization matrix
- Likert-scored sample questions for each dimension plus action-prioritization structure (blockers, quick wins, long-term)
- Practitioner guidance on sampling across roles, departments, seniority, and geography
Where it falls short
- Delivered as a static Excel download; no adaptive AI follow-up to probe a low awareness or low-commitment score
- No native way to run the qualitative concerns as a moderated interview at scale
- Scoring/prioritization is manual spreadsheet work rather than an auto-generated readiness report
- No built-in longitudinal tracking to compare baseline vs. later readiness waves
AidaForm
Change Readiness Assessment Tool | Readiness to Change QuestionnaireA ready-to-use 21-question self-assessment that auto-scores respondents 1-5 across three dimensions: openness to change, readiness for change, and experience with changes. Supports scale, rating, slider, and matrix fields and editable score formulas. Nicely operationalized with instant scoring, but limited to three dimensions and no adaptive qualitative follow-up.
What it does well
- Fully operational: 21 questions with automatic 1-5 scoring on submission
- Scores three distinct dimensions (openness, readiness, experience with change)
- Supports scale, rating, slider, and matrix field types with editable score-calculation formulas
- Works for both individual self-assessment and organizational rollout
Where it falls short
- Only three readiness dimensions vs. the richer seven-factor frameworks elsewhere
- Auto-score is quantitative only; no adaptive AI interview to explain a low readiness score
- No auto-generated organizational report aggregating individual scores into a readiness picture
- No native trade-off (constant-sum) question to prioritize barriers or needed support
SurveySparrow
Change Management Questionnaire TemplateA real change-management questionnaire measuring whether employees are aware of and ready for an organizational change, in SurveySparrow's chat-style UI. Covers the awareness/readiness basics; analysis happens after collection, and there is no anonymous conversational channel for the concerns people won't type.
What it does well
- Purpose-built readiness questions covering awareness and preparedness
- Conversational survey format that feels approachable for sensitive topics
- Recurring scheduling suits pulse tracking through a transition
Where it falls short
- No AI interviewer to safely surface what employees believe will really happen
- Text analytics are post-collection — nothing probes concerns in the moment
- No rumor-channel diagnostic distinguishing official from informal communication
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.