Q01
Message
All templatesSustainability & Impact
Carbon Dashboard Comprehension & Actionability Assessment
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.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
27 questions · ~12 min
Q02
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
Q03
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%
Q04
Opinion Scale
How confident are you that you could identify the top three emission drivers using the dashboard?
Scale: 1 – 7
Min:Not at all confidentMax:Extremely confident
Q05
Opinion Scale
Overall, how clear is the dashboard at communicating our emissions performance and trends?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q06
Dropdown
What is your primary role?
- Operations / Facilities
- Finance / FP&A
- Procurement / Supply chain
- Product / R&D
- People / Travel
- Executive / Strategy
- Data / Analytics
- Other
Q07
Message
Thank you for your time. Your feedback will directly inform our next round of dashboard improvements.
Q08
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)
Q09
Multiple Choice
Based on the scenario, which source currently contributes the most to emissions?
- Electricity
- Business travel
- Logistics
Q10
Ranking
Based on the scenario, rank the following actions from highest to lowest priority.
- Increase renewable electricity procurement
- Reduce business travel
- Optimize logistics routing/loads
- Request more granular source or region data
- Set interim reduction targets by function
Drag to rank
Q11
Opinion Scale
Overall, how useful is the dashboard for making decisions about emissions reduction?
Scale: 1 – 7
Min:Not at all usefulMax:Extremely useful
Q12
Dropdown
Which region do you primarily work in?
- Americas
- EMEA
- APAC
- Multiple regions
- Prefer not to say
Q13
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
Q14
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)
Q15
Long Text
What single change would most improve the dashboard's usefulness for your decisions?
Q16
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
Q17
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
Q18
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.
Q19
Opinion Scale
How familiar are you with our carbon accounting approach (scopes, boundaries, methods)?
Scale: 1 – 7
Min:Not at all familiarMax:Extremely familiar
Q20
Opinion Scale
How clear is the dashboard's presentation of emissions trend lines over time?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q21
Long Text
Based on your responses throughout this survey, is there anything else you would like to share about improving the carbon dashboard?
Q22
Dropdown
What device do you primarily use to view the dashboard?
- Laptop / Desktop
- Mobile phone
- Tablet
Q23
Opinion Scale
How clear is the dashboard's breakdown of emissions by source?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q24
Opinion Scale
How clear are the dashboard's forecast projections?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q25
Opinion Scale
How clear is the dashboard's display of progress toward reduction targets?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q26
Opinion Scale
How clear are the dashboard's suggested or implied actions for reducing emissions?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q27
Long Text
What, if anything, prevents you from acting on insights from the dashboard?
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Includes scenario-based comprehension tasks (identifying top emission sources, forecast interpretation) that test actual understanding, not just self-reported ease-of-use
- Uses a ranking exercise to see how stakeholders prioritize reduction actions, plus targeted opinion-scale clarity ratings across five distinct dashboard elements (trend lines, source breakdown, forecasts, targets, suggested actions)
- Includes an AI follow-up interview that adaptively probes reported barriers to acting on dashboard insights, going beyond a static open-text box
- Segments results by role, region, and years of sustainability-data experience, and asks about device used to view the dashboard, giving context Jotform/QuestionPro-style static forms don't structurally capture
QuestionPro
System Usability Scale Survey Template | Sample Survey, Examples, Questions & QuestionnairesThis is a generic System Usability Scale (SUS) template, a widely used 10-item static questionnaire for rating any software's usability. It is fielding-ready but is a general-purpose instrument, not tailored to carbon dashboards, emissions data, or stakeholder decision-making. Teams would need to heavily customize or supplement it to assess comprehension of sustainability metrics.
What it does well
- Based on the well-established, validated SUS methodology with known benchmarking norms
- Quick to deploy for a broad usability score on any tool or interface
- Simple, standardized format familiar to UX researchers
Where it falls short
- Static 10-item form with no adaptive AI follow-up to probe why a user found something confusing or unusable
- No scenario-based comprehension testing — measures perceived ease of use, not whether users can actually interpret emissions data or forecasts correctly
- No automated per-response quality scoring or auto-generated reporting; results require manual analysis and scoring against SUS norms
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.
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