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Support Chatbot Fairness & Transparency Survey Template

Assess perceived fairness & transparency of your support chatbot during handoff/deflection. Track trust, clarity and escalation outcomes. Ready in 6-8 mins.

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

Sample Survey Items

Q1
dropdown
When was your most recent customer support interaction?
Q2
multiple choice
Which channel best describes that interaction?
  • Live chat on a website
  • Chat in a mobile app
  • Messaging app (e.g., WhatsApp, Messenger)
  • Social media direct message
  • Email
  • Phone
  • In‑store or on‑site
  • Other
Q3
multiple choice
What was the main reason for contacting support?
  • Billing or payments
  • Technical problem
  • Account access or password
  • Order status or delivery
  • Product information or setup
  • Cancellation or return
  • Complaint or poor service
  • Something else
Q4
multiple choice
During that interaction, did a chatbot engage with you before you reached a human agent?
  • Yes, and it resolved my issue
  • Yes, but I asked for a person
  • Yes, routed to a person automatically
  • No chatbot involved
  • Not sure
Q5
multiple choice
Which of the following occurred before you were offered a human agent? Select all that apply.
  • Showed help articles or FAQs
  • Walked through troubleshooting steps
  • Asked me to rephrase or provide more detail
  • Asked me to repeat information I already provided
  • Suggested contacting later due to availability
  • Promoted premium or priority support
  • Presented a long form to complete
  • Stated agents were unavailable
  • None of the above
  • Other
Q6
opinion scale
How easy was it to reach a human agent when you wanted one?
Q7
matrix
Please rate your agreement about the chatbot’s transparency and routing in that interaction.
Q8
rating
Overall, how fair did the deflection and routing feel?
Q9
opinion scale
My preference (self‑serve vs. human) was respected.
Q10
rating
How satisfied were you with the final outcome of that interaction?
Q11
dropdown
After this experience, your trust in the company’s support:
Q12
numeric
Approximately how many minutes, if any, did you spend with the chatbot before reaching a person? Enter 0 if none.
Q13
multiple choice
Attention check: To confirm you’re paying attention, please select “I am paying attention.”
  • I am paying attention
  • I am not paying attention
  • Prefer not to say
Q14
ranking
Rank the top factors you value when deciding to use a chatbot.
Q15
dropdown
Which region do you live in?
Q16
dropdown
What is your age group?
Q17
multiple choice
How do you describe your gender?
  • Woman
  • Man
  • Non-binary
  • Prefer not to say
Q18
dropdown
What is the highest level of education you have completed?
Q19
dropdown
What is your current employment status?
Q20
dropdown
In the last 6 months, how many times did you contact customer support?
Q21
opinion scale
How comfortable are you using digital chat or messaging for support?
Q22
long text
What felt fair or unfair about how the chatbot handled escalation or deflection?
Max 600 chars
Q23
ai interview
AI Interview: 2 Follow-up Questions on chatbot fairness and transparency
AI Interview
Q24
chat message
Thank you for your time—your feedback helps improve fair and transparent support.

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Support Chatbot Fairness & Transparency Survey Template - Survey Template | QuestionPunk