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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”
TypeDescriptionValues
likert-77-point agreement scale1 (Strongly Disagree) to 7 (Strongly Agree)
likert-55-point agreement scale1 (Strongly Disagree) to 5 (Strongly Agree)
npsNet Promoter Score0 to 10
numericNumeric inputAny positive number
choiceMultiple choicePredefined options
booleanYes/Notrue/false
textFree textOpen-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.

IDQuestionTypeCategory
task_helpfulnessHow helpful were AI tools in completing your tasks?Likert-7AI Tools
cognitive_loadHow much mental effort did you need when using AI tools?Likert-7AI Tools
learning_outcomeDid you learn something new from your AI interactions?ChoiceAI Tools
nps_scoreHow likely are you to recommend this AI tool to a colleague?NPS (0-10)Satisfaction
deployment_confidenceHow confident are you in the quality of AI-assisted work?Likert-5Quality
ai_perceptionHow do you perceive AI tools in your workflow?ChoiceAI Tools
future_preferenceHow would you prefer to use AI tools in the future?ChoiceAI Tools
improvement_suggestionWhat could be improved about your AI tool experience?TextFeedback

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.

IDQuestionTypeCategory
overall_productivityHow productive did you feel this week/month?Likert-7Productivity
job_satisfactionHow satisfied are you with your work?Likert-7Satisfaction
ai_tool_impactHow much have AI tools improved your work?Likert-7AI Tools
team_collaborationHow well is your team collaborating?Likert-5Collaboration
learning_growthAre you learning and growing in your role?ChoiceGrowth
work_life_balanceHow satisfied are you with your work-life balance?Likert-5Wellbeing
open_feedbackAny other feedback about your team experience?TextFeedback

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.

IDQuestionTypeSPACE Dimension
discovery_satisfactionDoes our discovery process help us ship the right things?Likert-5Satisfaction
stakeholder_confidenceDo you understand why we’re building what we’re building?Likert-5Satisfaction
customer_touchpoint_frequencyHow many customer interviews/tests did you participate in this week?NumericActivity
tested_assumptions_countHow many hypotheses did your team test this sprint?NumericActivity
cross_functional_participationDid PM, Design, and Engineering all participate in discovery?BooleanCommunication
insight_utilizationDo customer insights actually influence roadmap decisions?Likert-5Communication
time_to_first_validation_daysDays from idea to first customer validation?NumericEfficiency
build_measure_learn_cycle_daysDays from hypothesis to validated result?NumericEfficiency

What These Measure

Section titled “What These Measure”
QuestionMeasures
Discovery SatisfactionAre we shipping the right things?
Stakeholder ConfidenceDo we understand why we build?
Customer TouchpointsCustomer engagement frequency
Tested AssumptionsExperimentation velocity
Cross-Functional ParticipationTrio collaboration (PM+Design+Eng)
Insight UtilizationResearch → roadmap connection
Time to First ValidationSpeed to customer feedback
Build-Measure-Learn CycleFull experimentation cycle time

Delivery Questions (8)

Section titled “Delivery Questions (8)”

DORA and SPACE framework questions focused on engineering delivery effectiveness.

IDQuestionTypeSPACE Dimension
deployment_frequencyHow often does your team deploy to production?ChoicePerformance
code_quality_confidenceHow confident are you in the quality of code you ship?Likert-5Performance
flow_state_frequencyHow often do you achieve a flow state at work?ChoiceEfficiency
build_cicd_satisfactionHow satisfied are you with your build/CI/CD pipeline?Likert-5Efficiency
tech_debt_impactHow much does technical debt slow down your delivery?Likert-5Efficiency
code_review_qualityHow helpful is the feedback you receive in code reviews?Likert-5Communication
code_review_speedHow timely are code reviews on your team?Likert-5Communication
sprint_completion_confidenceHow confident are you that your team will complete this sprint?Likert-5Activity

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”
QuestionMeasures
Deployment FrequencyDORA metric - how often you deploy
Code Quality ConfidenceConfidence in shipped code
Flow State FrequencyDeveloper experience / focus time
Build/CI/CD SatisfactionTooling satisfaction
Tech Debt ImpactTechnical debt burden (reverse scored)
Code Review QualityPeer feedback effectiveness
Code Review SpeedReview process efficiency
Sprint Completion ConfidencePredictability / 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”
FieldTypeDescription
idstringQuestion identifier (from tables above)
enabledbooleanWhether question appears in survey
ordernumberDisplay order (when not randomized)

Randomization Settings

Section titled “Randomization Settings”
SettingDefaultDescription
randomizeQuestionOrdertrueRandomize order per response
textQuestionsAtEndtrueAlways place text questions last

Purpose-Based Defaults

Section titled “Purpose-Based Defaults”

Different survey purposes enable different default question sets:

PurposeDefault Questions
whole_teamTeam Experience + select Session Assessment
ai_effectivenessSession Assessment questions
discoveryDiscovery questions
deliveryDelivery questions
happinessTeam Experience (satisfaction/wellbeing focus)

Complete Question Reference

Section titled “Complete Question Reference”

All 31 questions in one table:

#IDQuestion SummaryTypeCategory
1task_helpfulnessAI tools helpfulnessLikert-7Session
2cognitive_loadMental effort with AILikert-7Session
3learning_outcomeLearning from AIChoiceSession
4nps_scoreAI tool NPSNPSSession
5deployment_confidenceAI work quality confidenceLikert-5Session
6ai_perceptionAI as partner/tool/obstacleChoiceSession
7future_preferenceFuture AI usage preferenceChoiceSession
8improvement_suggestionAI improvement feedbackTextSession
9overall_productivityWeekly/monthly productivityLikert-7Team
10job_satisfactionWork satisfactionLikert-7Team
11ai_tool_impactAI improvement impactLikert-7Team
12team_collaborationTeam collaboration qualityLikert-5Team
13learning_growthLearning and growthChoiceTeam
14work_life_balanceWork-life balanceLikert-5Team
15open_feedbackGeneral team feedbackTextTeam
16discovery_satisfactionDiscovery process effectivenessLikert-5Discovery
17stakeholder_confidenceUnderstanding why we buildLikert-5Discovery
18customer_touchpoint_frequencyCustomer interviews per weekNumericDiscovery
19tested_assumptions_countHypotheses tested per sprintNumericDiscovery
20cross_functional_participationPM+Design+Eng participationBooleanDiscovery
21insight_utilizationInsights influence roadmapLikert-5Discovery
22time_to_first_validation_daysDays to first validationNumericDiscovery
23build_measure_learn_cycle_daysBML cycle time in daysNumericDiscovery
24deployment_frequencyDeploy frequencyChoiceDelivery
25code_quality_confidenceCode quality confidenceLikert-5Delivery
26flow_state_frequencyFlow state frequencyChoiceDelivery
27build_cicd_satisfactionCI/CD satisfactionLikert-5Delivery
28tech_debt_impactTech debt impactLikert-5Delivery
29code_review_qualityReview feedback qualityLikert-5Delivery
30code_review_speedReview timelinessLikert-5Delivery
31sprint_completion_confidenceSprint predictabilityLikert-5Delivery
Section titled “Related Documentation”