Skip to content
GuideMode

Survey Questions

GuideMode includes 31 built-in questions organized into four categories. This page provides a complete reference for all available questions, their types, and what they measure.

Question Types

Section titled “Question Types”
Type Description Values
likert-7 7-point agreement scale 1 (Strongly Disagree) to 7 (Strongly Agree)
likert-5 5-point agreement scale 1 (Strongly Disagree) to 5 (Strongly Agree)
nps Net Promoter Score 0 to 10
numeric Numeric input Any positive number
choice Multiple choice Predefined options
boolean Yes/No true/false
text Free text Open-ended response

Session Assessment Questions (8)

Section titled “Session Assessment Questions (8)”

Questions focused on AI tool usage and effectiveness, typically used after AI coding sessions.

ID Question Type Category
task_helpfulness How helpful were AI tools in completing your tasks? Likert-7 AI Tools
cognitive_load How much mental effort did you need when using AI tools? Likert-7 AI Tools
learning_outcome Did you learn something new from your AI interactions? Choice AI Tools
nps_score How likely are you to recommend this AI tool to a colleague? NPS (0-10) Satisfaction
deployment_confidence How confident are you in the quality of AI-assisted work? Likert-5 Quality
ai_perception How do you perceive AI tools in your workflow? Choice AI Tools
future_preference How would you prefer to use AI tools in the future? Choice AI Tools
improvement_suggestion What could be improved about your AI tool experience? Text Feedback

Choice Options

Section titled “Choice Options”

learning_outcome:

  • Learned something new
  • Reinforced existing knowledge
  • No learning impact
  • Actually confused me

ai_perception:

  • Collaborative partner
  • Useful tool
  • Neutral
  • Obstacle to overcome

future_preference:

  • Use more frequently
  • Use about the same
  • Use less frequently
  • Stop using

Team Experience Questions (7)

Section titled “Team Experience Questions (7)”

General team health questions aligned with the SPACE framework.

ID Question Type Category
overall_productivity How productive did you feel this week/month? Likert-7 Productivity
job_satisfaction How satisfied are you with your work? Likert-7 Satisfaction
ai_tool_impact How much have AI tools improved your work? Likert-7 AI Tools
team_collaboration How well is your team collaborating? Likert-5 Collaboration
learning_growth Are you learning and growing in your role? Choice Growth
work_life_balance How satisfied are you with your work-life balance? Likert-5 Wellbeing
open_feedback Any other feedback about your team experience? Text Feedback

Choice Options

Section titled “Choice Options”

learning_growth:

  • Growing significantly
  • Growing somewhat
  • Staying the same
  • Declining

Discovery Questions (8)

Section titled “Discovery Questions (8)”

SPACE framework questions focused on product discovery effectiveness.

ID Question Type SPACE Dimension
discovery_satisfaction Does our discovery process help us ship the right things? Likert-5 Satisfaction
stakeholder_confidence Do you understand why we’re building what we’re building? Likert-5 Satisfaction
customer_touchpoint_frequency How many customer interviews/tests did you participate in this week? Numeric Activity
tested_assumptions_count How many hypotheses did your team test this sprint? Numeric Activity
cross_functional_participation Did PM, Design, and Engineering all participate in discovery? Boolean Communication
insight_utilization Do customer insights actually influence roadmap decisions? Likert-5 Communication
time_to_first_validation_days Days from idea to first customer validation? Numeric Efficiency
build_measure_learn_cycle_days Days from hypothesis to validated result? Numeric Efficiency

What These Measure

Section titled “What These Measure”
Question Measures
Discovery Satisfaction Are we shipping the right things?
Stakeholder Confidence Do we understand why we build?
Customer Touchpoints Customer engagement frequency
Tested Assumptions Experimentation velocity
Cross-Functional Participation Trio collaboration (PM+Design+Eng)
Insight Utilization Research → roadmap connection
Time to First Validation Speed to customer feedback
Build-Measure-Learn Cycle Full experimentation cycle time

Delivery Questions (8)

Section titled “Delivery Questions (8)”

DORA and SPACE framework questions focused on engineering delivery effectiveness.

ID Question Type SPACE Dimension
deployment_frequency How often does your team deploy to production? Choice Performance
code_quality_confidence How confident are you in the quality of code you ship? Likert-5 Performance
flow_state_frequency How often do you achieve a flow state at work? Choice Efficiency
build_cicd_satisfaction How satisfied are you with your build/CI/CD pipeline? Likert-5 Efficiency
tech_debt_impact How much does technical debt slow down your delivery? Likert-5 Efficiency
code_review_quality How helpful is the feedback you receive in code reviews? Likert-5 Communication
code_review_speed How timely are code reviews on your team? Likert-5 Communication
sprint_completion_confidence How confident are you that your team will complete this sprint? Likert-5 Activity

Choice Options

Section titled “Choice Options”

deployment_frequency:

  • Multiple times per day
  • Daily
  • Weekly
  • Monthly
  • Less than monthly

flow_state_frequency:

  • Daily
  • Several times per week
  • Weekly
  • Rarely
  • Never

What These Measure

Section titled “What These Measure”
Question Measures
Deployment Frequency DORA metric - how often you deploy
Code Quality Confidence Confidence in shipped code
Flow State Frequency Developer experience / focus time
Build/CI/CD Satisfaction Tooling satisfaction
Tech Debt Impact Technical debt burden (reverse scored)
Code Review Quality Peer feedback effectiveness
Code Review Speed Review process efficiency
Sprint Completion Confidence Predictability / estimation accuracy

Question Configuration

Section titled “Question Configuration”

Schedules can enable/disable and reorder questions:

{
  "version": "1.0",
  "questions": [
    { "id": "overall_productivity", "enabled": true, "order": 1 },
    { "id": "job_satisfaction", "enabled": true, "order": 2 },
    { "id": "deployment_frequency", "enabled": true, "order": 3 },
    { "id": "ai_tool_impact", "enabled": false, "order": 4 }
  ]
}

Configuration Options

Section titled “Configuration Options”
Field Type Description
id string Question identifier (from tables above)
enabled boolean Whether question appears in survey
order number Display order (when not randomized)

Randomization Settings

Section titled “Randomization Settings”
Setting Default Description
randomizeQuestionOrder true Randomize order per response
textQuestionsAtEnd true Always place text questions last

Purpose-Based Defaults

Section titled “Purpose-Based Defaults”

Different survey purposes enable different default question sets:

Purpose Default Questions
whole_team Team Experience + select Session Assessment
ai_effectiveness Session Assessment questions
discovery Discovery questions
delivery Delivery questions
happiness Team Experience (satisfaction/wellbeing focus)

Complete Question Reference

Section titled “Complete Question Reference”

All 31 questions in one table:

# ID Question Summary Type Category
1 task_helpfulness AI tools helpfulness Likert-7 Session
2 cognitive_load Mental effort with AI Likert-7 Session
3 learning_outcome Learning from AI Choice Session
4 nps_score AI tool NPS NPS Session
5 deployment_confidence AI work quality confidence Likert-5 Session
6 ai_perception AI as partner/tool/obstacle Choice Session
7 future_preference Future AI usage preference Choice Session
8 improvement_suggestion AI improvement feedback Text Session
9 overall_productivity Weekly/monthly productivity Likert-7 Team
10 job_satisfaction Work satisfaction Likert-7 Team
11 ai_tool_impact AI improvement impact Likert-7 Team
12 team_collaboration Team collaboration quality Likert-5 Team
13 learning_growth Learning and growth Choice Team
14 work_life_balance Work-life balance Likert-5 Team
15 open_feedback General team feedback Text Team
16 discovery_satisfaction Discovery process effectiveness Likert-5 Discovery
17 stakeholder_confidence Understanding why we build Likert-5 Discovery
18 customer_touchpoint_frequency Customer interviews per week Numeric Discovery
19 tested_assumptions_count Hypotheses tested per sprint Numeric Discovery
20 cross_functional_participation PM+Design+Eng participation Boolean Discovery
21 insight_utilization Insights influence roadmap Likert-5 Discovery
22 time_to_first_validation_days Days to first validation Numeric Discovery
23 build_measure_learn_cycle_days BML cycle time in days Numeric Discovery
24 deployment_frequency Deploy frequency Choice Delivery
25 code_quality_confidence Code quality confidence Likert-5 Delivery
26 flow_state_frequency Flow state frequency Choice Delivery
27 build_cicd_satisfaction CI/CD satisfaction Likert-5 Delivery
28 tech_debt_impact Tech debt impact Likert-5 Delivery
29 code_review_quality Review feedback quality Likert-5 Delivery
30 code_review_speed Review timeliness Likert-5 Delivery
31 sprint_completion_confidence Sprint predictability Likert-5 Delivery
Section titled “Related Documentation”