As of 13 August 2026, AI can collect feedback from your customers.
This still needs a person who signs their name to it.
Can you do it?
30 minutesto a draft.
1 hourto something you’d act on.
Cost, all in£0/month
Skill neededpower-user
Who has to check ityou
What the alternative costsThe supplied tool data gives no price for a human alternative.
If this goes wrong, you collect biased or misleading feedback and make product or service decisions that lose customers.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, power-user skill, and roughly 1 hour until you can act on the result.
How to actually do it
- Open a document and write down the feedback decision, the customer group, the channel, the questions you need answered, and the complaints or sensitive topics that must go to a person.
- Gather your approved privacy wording, contact details for human support, response-handling rules, product terminology, and any promises you are authorised to make.
- Paste those details into the prompt and answer the chatbot's essential questions without including unnecessary customer personal data.
- Build the approved flow in a feedback-capable chatbot such as Botpress, including the invitation, consent notice, questions, human hand-off, confirmation, and minimum data fields.
- Test the flow yourself with neutral, positive, negative, incomplete, and complaint responses, then compare every message and route against your approved wording and escalation rules.
- Send the invitation to a limited customer group first and export the resulting transcripts or structured responses for checking.
- Paste the responses into the chatbot for tagging and theme analysis, then compare its quotations, counts, and themes against the source responses before making a customer or product decision.
Prompt
Design a customer-feedback collection flow for [BUSINESS NAME], which sells [PRODUCT OR SERVICE] to [CUSTOMER GROUP]. The goal is to learn [DECISION OR PROBLEM YOU NEED TO UNDERSTAND]. Use a plain, neutral UK tone. Create: 1. a short invitation message for [CHANNEL], 2. a consent and privacy notice that does not claim anything about data retention or use unless I provide it, 3. a feedback conversation with no more than [NUMBER] questions, 4. follow-up questions that are optional and clearly labelled, 5. an immediate route to a human for complaints, safety concerns, refunds, account access, or any request requiring a personal decision, 6. a confirmation message, 7. a spreadsheet-ready list of fields to store, using the minimum customer data needed, and 8. a tagging scheme for analysing responses. Do not lead the customer towards a positive answer, invent business facts, promise action that I have not authorised, or treat one response as representative of all customers. Ask me up to five essential questions before finalising the flow. After I paste responses, separate direct quotations from your interpretation, show the number of responses supplied, identify conflicting views and unanswered questions, and recommend what a human should check before acting.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot decide whether the customers who responded are representative of the customers who stayed silent.
- AI cannot replace a human response to a complaint, distress, disputed account issue, or request for a remedy.
- AI cannot know which awkward finding matters most to your business without your commercial and customer context.
- AI can turn polite wording into a biased question or miss a theme expressed in unfamiliar language.
- AI cannot make the business accountable for consent, data handling, or decisions based on the feedback.
Even on a YES, the friction has a name: verification cost, judgement under ambiguity and context depth.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can AI send surveys to my customers?
- Yes. A configured chatbot can present questions, collect answers, and pass responses to your team, but you still need to choose the audience, channel, consent wording, and escalation rules.
- Can AI analyse customer feedback?
- Yes, it can group responses, identify repeated themes, and extract quotations. Check its tags and conclusions against the original responses because it cannot tell whether the sample represents all your customers.
- Can AI respond to negative customer feedback?
- It can acknowledge straightforward feedback and route it to the right team. Complaints, refund requests, account disputes, and anything requiring judgement should reach a person rather than receive an improvised AI resolution.
- What is the best AI tool for collecting customer feedback?
- Botpress is a suitable choice when you need to build a chatbot with custom questions, response handling, and routes to a human. It still needs your approved wording, data rules, testing, and ongoing monitoring.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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