Q01
Long Text
All templates
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 · ~4 min
Q02
Long Text
In the last 30 days, how often have you used the carbon dashboard?
Q03
Long Text
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
Long Text
How confident are you that you could identify the top three emission drivers using the dashboard?
Q05
Long Text
Overall, how clear is the dashboard at communicating our emissions performance and trends?
Q06
Long Text
What is your primary role?
Q07
Long Text
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.
Q09
Multiple Choice
Based on the scenario, which source currently contributes the most to emissions?
Q10
Long Text
Based on the scenario, rank the following actions from highest to lowest priority.
Q11
Long Text
Overall, how useful is the dashboard for making decisions about emissions reduction?
Q12
Long Text
Which region do you primarily work in?
Q13
Multiple Choice
If no actions are taken, what does the scenario's forecast suggest for next quarter?
Q14
Multiple Choice
What additional information would help you decide on actions today? Select all that apply.
Q15
Long Text
What single change would most improve the dashboard's usefulness for your decisions?
Q16
Long Text
How many years have you worked with sustainability or carbon data?
Q17
Long Text
About how long would it take you to find current-quarter business travel emissions on the dashboard?
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
Long Text
How familiar are you with our carbon accounting approach (scopes, boundaries, methods)?
Q20
Long Text
How clear is the dashboard's presentation of emissions trend lines over time?
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
Long Text
What device do you primarily use to view the dashboard?
Q23
Long Text
How clear is the dashboard's breakdown of emissions by source?
Q24
Long Text
How clear are the dashboard's forecast projections?
Q25
Long Text
How clear is the dashboard's display of progress toward reduction targets?
Q26
Long Text
How clear are the dashboard's suggested or implied actions for reducing emissions?
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.
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.