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Developer Survey Template: False Positives & Content Filters

Measure how content filters and false positives affect developer productivity and decisions. Use this survey template to capture workflow pain points.

What's Included

AI-Powered Questions

Intelligent follow-up questions based on responses

Automated Analysis

Real-time sentiment and insight detection

Smart Distribution

Target the right audience automatically

Detailed Reports

Comprehensive insights and recommendations

Sample Survey Items

Q1
Multiple Choice
In the last 30 days, have you used any developer tools that enforce content moderation or safety filters?
  • Yes, in the last 30 days
  • No, not in the last 30 days
Q2
Multiple Choice
Which developer tools with content filters have you used in the last 30 days? Select all that apply.
  • AI code assistants (e.g., coding copilots)
  • Code hosting/PR checks (e.g., repo content policies)
  • Package registries with policy checks (e.g., npm, PyPI)
  • Documentation portals or knowledge bases
  • Q&A forums or developer communities
  • CI/CD or security policy gates
Q3
Opinion Scale
How often did you encounter false positives from these filters in the last 30 days?
Range: 1 – 10
Min: NeverMid: SometimesMax: Very often
Q4
Matrix
For recent false positives, how disruptive were these events?
RowsNot disruptiveSlightly disruptiveModerately disruptiveSeverely disruptive
Code snippet blocked or removed••••
Package or dependency flagged••••
Commit message or PR description blocked••••
Forum/community post flagged••••
AI assistant refused a benign request••••
Build or deploy halted by policy••••
Q5
Long Text
Briefly describe your most recent false positive in the last 30 days (omit sensitive data).
Max 600 chars
Q6
Numeric
Approximately how many minutes did it take to resolve your most recent false positive?
Accepts a numeric value
Whole numbers only
Q7
Multiple Choice
After the false positive, what did you do? Select all that apply.
  • Submitted an appeal or requested a review
  • Reworded or reformatted content
  • Used a different tool or channel
  • Waited and retried later
  • Asked a teammate/admin with different access
  • Abandoned the task
Q8
Ranking
Rank the top 3 effects you experienced from false positives (drag to order; put top impact first).
Drag to order (top = most important)
  1. Lost time
  2. Context switching
  3. Blocked release or review
  4. Lower code quality or shortcuts
  5. Frustration or stress
  6. Team coordination overhead
Q9
Multiple Choice
Why haven’t you used developer tools with content filters in the last 30 days? Select all that apply.
  • None of my current tools apply content filters
  • I avoid tools that include filters
  • Company policy restricts such tools
  • I’m unsure which tools include filters
Q10
Rating
If your tools introduced content filters, how disruptive do you expect false positives would be?
Scale: 10 (star)
Min: Not at allMax: Extremely
Q11
Multiple Choice
What informs your expectations? Select all that apply.
  • Teammates’ experiences
  • Industry news or reports
  • Past experiences in other tools
  • Social media or forums
  • Vendor documentation or release notes
Q12
Opinion Scale
Which trade-off do you prefer for content filters in developer tools?
Range: 1 – 10
Min: Minimize false negatives (stricter)Mid: BalancedMax: Minimize false positives (more permissiv
Q13
Multiple Choice
In your view, what most often causes false positives? Select all that apply.
  • Ambiguous or broad policy definitions
  • Overly sensitive detection models
  • Missing contextual signals (e.g., file type, repo trust)
  • Poor or unrepresentative training examples
  • Misclassifying code vs. natural language
  • Locale or language issues
  • Unclear UI messaging or guidance
Q14
Constant Sum
Allocate 100 points across areas that would most reduce the impact of false positives.
Total must equal 100
  • Clearer policy definitions in tools
  • Better detection models (precision/recall tuning)
  • Use more context (file type, repo trust, role)
  • Faster/transparent appeal or override process
  • Granular admin/user controls
  • Improved UI messaging and guidance
Min per option: 0Whole numbers only
Q15
Multiple Choice
Attention check: To confirm you are paying attention, please select “I am paying attention.”
  • I am paying attention
  • I prefer not to say
  • None of the above
Q16
Multiple Choice
What is your primary role?
  • Backend developer
  • Frontend developer
  • Full-stack developer
  • DevOps/SRE
  • ML/AI engineer
  • Security engineer
  • Engineering manager
  • QA/Testing
  • Other
Q17
Numeric
How many years of professional software development experience do you have?
Accepts a numeric value
Whole numbers only
Q18
Multiple Choice
What is your organization size?
  • 1 (just me)
  • 2–10
  • 11–50
  • 51–200
  • 201–1,000
  • 1,001–5,000
  • 5,001+
Q19
Multiple Choice
Where are you primarily located?
  • North America
  • Europe
  • Latin America
  • Asia
  • Africa
  • Oceania
  • Prefer not to say
Q20
Multiple Choice
Which languages do you use most often? Select all that apply.
  • JavaScript/TypeScript
  • Python
  • Java/Kotlin
  • C/C++
  • C
  • Go
  • Ruby
  • Rust
  • Swift/Objective-C
  • PHP
  • SQL
  • Other
Q21
Chat Message
Welcome! This brief survey asks about your recent experiences with content filters in developer tools. Please answer based on the last 30 days and omit any sensitive data.
Q22
Long Text
Anything else we should know about false positives or content filter design?
Max 600 chars
Q23
AI Interview
AI Interview: 2 Follow-up Questions on developer content filters
AI InterviewLength: 2Personality: Expert InterviewerMode: Fast
Q24
Chat Message
Thank you for your time—your feedback helps improve developer tools.

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