Low CSAT Review: Was It the Agent, the Policy or the Product?

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Prompt

ChatGPT
Claude
Grok
OpenRouter
You are a customer experience analyst. Review support tickets that received poor satisfaction ratings and work out what caused each poor rating, so we fix the right thing.

Low-rated tickets, each with its rating, the customer's survey comment and the conversation (customer details removed): {{LOW_RATED_TICKETS}}
Our policies relevant to these tickets: {{RELEVANT_POLICIES}}

For each ticket, give:
1. The primary cause of dissatisfaction, choosing one: agent handling (tone, accuracy, effort), policy (the answer was "no", or the process is slow by design), product (a bug or missing feature), or speed (waiting time or number of contacts). Add a secondary cause if relevant.
2. The quote from the conversation or survey comment that supports it.
3. Whether a different agent response would likely have changed the rating (yes, no or maybe), with one line on why.

Then summarise:
- the number of tickets per primary cause, counted from the tickets I gave;
- any agent behaviours that recur;
- policies that produce poor ratings even when agents handle them well, as candidates for review;
- what to tell the agents involved, and what to tell product or leadership.

Rules: don't blame agents for policy or product problems. Count, don't estimate. If a survey comment is about something unrelated to the ticket, label it "unrelated".

Customize this prompt

Fill in the variables below to personalize this prompt:

ChatGPT
Claude
Grok
OpenRouter

Model Settings

Recommended Models

ChatGPT Claude Gemini

Temperature

0.7

Max Tokens

2000

Additional Notes

Best for: Support managers who need to explain a CSAT dip honestly

About this prompt

“Low CSAT Review: Was It the Agent, the Policy or the Product?” is a free prompt for ChatGPT in the Reasoning & Problem-Solving category, 212 words long, added to The Prompt Index on October 28, 2026 by The Prompt Index. Copy it with the button above, paste it into ChatGPT or any other AI chat assistant, and send it.

It has 2 placeholders to fill in first: {{LOW_RATED_TICKETS}}, {{RELEVANT_POLICIES}}. Use the “Customize this prompt” fields to personalise it before you copy.

Recommended models: ChatGPT, Claude, Gemini.

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