Evaluates internal stakeholders' ability to interpret carbon metrics and translate dashboard insights into prioritized actions, using scenario-based comprehension tasks and self-reported usability measures.
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
Template Overview
27
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome, and thank you for taking part in this survey about the carbon dashboard.
Your responses are confidential and will be reported only in aggregate to inform dashboard improvements. There are no right or wrong answers—we are interested in your honest experience and opinions. Participation is voluntary and you may stop at any time.
This survey takes approximately 7–10 minutes to complete.
Q2
Dropdown
In the last 30 days, how often have you used the carbon dashboard?
Not in the last 30 days
Once
2–3 times
About weekly
2–3 times per week
Daily
Q3
Multiple Choice
Which areas do you most engage with when working with sustainability data? Select all that apply.
Operations / Facilities
Finance / FP&A
Procurement / Supply chain
Product / R&D
People / Travel
Executive / Strategy
Data / Analytics
Other (please specify)
Q4
Chat Message
Please read the following dashboard scenario carefully before answering the next few questions.
• Q2 total emissions: 2,400 tCO₂e (down 12% vs Q1)
• Emissions by source: Electricity 45% · Business travel 30% · Logistics 25%
• Renewable electricity coverage: 35%
• Business travel: up 8% vs Q1
• Forecast: +5% next quarter if no actions taken
• 2030 target: 42% reduction from 2020 baseline; current progress: 18%
Q5
Multiple Choice
Based on the scenario, which source currently contributes the most to emissions?
Electricity
Business travel
Logistics
Q6
Multiple Choice
If no actions are taken, what does the scenario's forecast suggest for next quarter?
Emissions likely increase by about 5%
Emissions likely decrease by about 5%
Emissions remain roughly flat
No forecast is shown
Q7
Opinion Scale
How confident are you that you could identify the top three emission drivers using the dashboard?
Range: 1 – 7
Min: Not at all confidentMid: NeutralMax: Extremely confident
Q8
Ranking
Based on the scenario, rank the following actions from highest to lowest priority.
Drag to order (top = most important)
Increase renewable electricity procurement
Reduce business travel
Optimize logistics routing/loads
Request more granular source or region data
Set interim reduction targets by function
Q9
Multiple Choice
What additional information would help you decide on actions today? Select all that apply.
Cost impact and payback periods
Site- or route-level breakdowns
Uncertainty / confidence intervals
Seasonality or normalization factors
Travel policy levers and expected savings
Supplier-specific emissions and engagement status
Benchmarks vs targets or peers
Data freshness and next update timing
Other (please specify)
Q10
Dropdown
About how long would it take you to find current-quarter business travel emissions on the dashboard?
Less than 1 minute
1–2 minutes
3–5 minutes
6–10 minutes
More than 10 minutes
I would not know where to find it
Q11
Opinion Scale
How clear is the dashboard's presentation of emissions trend lines over time?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q12
Opinion Scale
How clear is the dashboard's breakdown of emissions by source?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q13
Opinion Scale
How clear are the dashboard's forecast projections?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q14
Opinion Scale
How clear is the dashboard's display of progress toward reduction targets?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q15
Opinion Scale
How clear are the dashboard's suggested or implied actions for reducing emissions?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q16
Long Text
What, if anything, prevents you from acting on insights from the dashboard?
Max chars
Q17
Opinion Scale
Overall, how clear is the dashboard at communicating our emissions performance and trends?
Range: 1 – 7
Min: Not at all clearMid: NeutralMax: Extremely clear
Q18
Opinion Scale
Overall, how useful is the dashboard for making decisions about emissions reduction?
Range: 1 – 7
Min: Not at all usefulMid: NeutralMax: Extremely useful
Q19
Long Text
What single change would most improve the dashboard's usefulness for your decisions?
Max chars
Q20
AI Interview
You mentioned actions and barriers related to the dashboard. We'd like to explore your decision-making process in a bit more depth.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 4
Q21
Long Text
Based on your responses throughout this survey, is there anything else you would like to share about improving the carbon dashboard?
Max chars
Q22
Dropdown
What is your primary role?
Operations / Facilities
Finance / FP&A
Procurement / Supply chain
Product / R&D
People / Travel
Executive / Strategy
Data / Analytics
Other
Q23
Dropdown
Which region do you primarily work in?
Americas
EMEA
APAC
Multiple regions
Prefer not to say
Q24
Dropdown
How many years have you worked with sustainability or carbon data?
Less than 1 year
1–2 years
3–5 years
6–10 years
11+ years
Q25
Opinion Scale
How familiar are you with our carbon accounting approach (scopes, boundaries, methods)?
Range: 1 – 7
Min: Not at all familiarMid: NeutralMax: Extremely familiar
Q26
Dropdown
What device do you primarily use to view the dashboard?
Laptop / Desktop
Mobile phone
Tablet
Q27
Chat Message
Thank you for your time. Your feedback will directly inform our next round of dashboard improvements.
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