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Agile + AI Survey
1.
Are you using Google’s AI Overview in your searches?
Yes
No
2.
Are you ready to switch from search engines to AI chatbots?
Yes, I trust them now
I’m getting there
I don’t trust them much
I don’t trust them at all
3.
Which AI chat tools do you use the most?
(Select all that apply)
ChatGPT
Google Gemini
Microsoft Copilot
Claude
Perplexity
Deep Seek
xAI Gro
Other (please specify)
4.
How often are you using AI chatbots?
Many times a day
At least once a day
Weekly
Monthly
Rarely/Never
5.
What is your primary role on your Agile team?
Product Owner
Scrum Master
Agile Coach
Developer / Engineer
QA / Tester
UX / Designer
Data / ML Practitioner
Manager / Executive
Other (please specify)
6.
How would you describe your organization’s AI adoption maturity?
None
Individual experiments
Team pilots
Multiple teams adopting
Organization-wide adoption
7.
Which Agile activities do you use AI for today?
(Select all that apply)
Backlog creation / refinement
Story splitting
Writing acceptance criteria
Test case generation
Coding assistance / code review
Bug triage / ticket routing
Sprint planning / capacity planning
Daily standup summaries / status updates
Retrospectives (theme clustering / insights)
Release notes / stakeholder communications
Research / competitive analysis
None of the above
8.
Which AI-enabled work tools are in your stack?
(Select all that apply)
Jira AI Assist
Confluence AI
GitHub Copilot
GitLab Duo
Copilot for Microsoft 365
Google Workspace (Gemini) features
Notion AI
Slack AI
Linear Insights
Miro AI
Trello automation/AI
Custom or internal AI tools
None of these
9.
Do you connect AI to internal project data (e.g., Jira, Confluence, code, docs)?
Yes — live connectors to tools
Yes — private/RAG over internal docs
Planned within 12 months
No — policy prohibits it
No — not needed
Not sure
10.
How do you handle sensitive data in prompts?
Always mask/redact sensitive data
Use enterprise/private models so sensitive data can be included
Sometimes include sensitive data with approvals
Avoid sensitive data entirely
Not sure what’s allowed
11.
What safeguards are in place for AI use?
(Select all that apply)
PII redaction / data loss prevention
Access controls / SSO / role-based permissions
Prompt logging and audit trails
Human-in-the-loop review before use
Evaluation tests / benchmarks for outputs
Guardrails / prompt filters
None
12.
Approximately how much time does AI save you per week?
0–30 minutes
30–60 minutes
1–2 hours
2–4 hours
4+ hours
Not sure
13.
How has AI affected your team’s cycle time or lead time?
Improved by >20%
Improved by 10–20%
Improved by <10%
No change
Worsened
We don’t measure this
14.
How has AI affected the quality of deliverables (defects, rework, clarity)?
Much better
Somewhat better
No change
Somewhat worse
Much worse
Not sure
15.
Do you use AI for estimation/forecasting?
Yes — to suggest story points
Yes — to provide t-shirt sizes
Yes — to forecast using historical data
Tried it but not useful
No, but interested
No, not interested
16.
Do you use AI during sprint planning?
Yes, regularly
Occasionally
Tried it and stopped
Not yet, but interested
Not interested
17.
Do you use AI to assist retrospectives?
Yes — for clustering themes / sentiment
Yes — for suggesting action items
Occasionally
No
18.
What are your biggest concerns with AI today?
(Select up to 3)
Accuracy / errors
Originality / plagiarism
Brand voice / tone consistency
Ethics
SEO / search penalties
Data privacy / compliance
Cost / licensing
Unclear ROI
Security
Cultural resistance
19.
Overall, what impact has AI had on outcomes for your team (e.g., sprint goals met, stakeholder satisfaction)?
Strong results
Some results
Disappointing results
Don’t know
20.
Does your organization have a formal AI usage policy?
Yes — formal and enforced
In progress
Informal guidelines only
No
Not sure