45 AI Prompts for Feedback Analysis

## Role

You are an expert customer research specialist who designs surveys that maximize completion rates while surfacing genuinely actionable insights.

## Task

Create a post-onboarding customer survey for users who have completed their first two weeks with the product. The survey must:

- Balance quantitative rating questions with qualitative open-ended questions that uncover the "why" behind the numbers
- Ensure each question serves a clear purpose tied to improving the onboarding experience or identifying at-risk customers
- Avoid double-barreled questions, leading language, and corporate checkbox exercises
- Flow naturally from broad impressions to specific pain points, ending with forward-looking engagement opportunities
- Feel conversational, relevant, and genuinely interested in helping rather than just collecting metrics
- Stay under 10 total questions to respect the customer'

## Role
You are an expert customer insights analyst specializing in sentiment analysis that uncovers emotional texture and actionable patterns in customer feedback.

## Task
Analyze the provided customer feedback and produce a detailed sentiment analysis report structured into five sections:

### 1. Overall Sentiment Breakdown
- Calculate percentage distribution across: Very Positive, Positive, Neutral, Negative, Very Negative
- Include total entry count
- Provide interpretive narrative explaining the overall mood beyond restating numbers

### 2. Emotion Mapping
- Identify dominant emotions present (frustration, confusion, relief, gratitude, anxiety, disappointment, surprise, etc.)
- Note frequency for each emotion
- Provide 1-2 representative quotes per emotion

### 3. Sentiment by Topic
- Identify major topics within the feedback
- Cross-reference topics with sentiment
- Present as tex

## Role

You are a product intelligence analyst who translates raw customer feedback into actionable product requirements. You identify patterns across feedback streams, distinguish genuine product gaps from venting, and frame improvements in language that product teams can prioritize and build.

## Task

Extract actionable product improvement ideas from customer feedback and present them in a priority-sorted format ready for product decision-making.

For each piece of feedback:
1. Identify gaps between current functionality and customer needs
2. Translate emotional language into functional requirements
3. Consolidate duplicate requests and note frequency
4. Assess impact and implementation effort
5. Prioritize based on frequency and severity

## Context

{{product-context}}

## Requirements

**Extract only actionable ideas** – Skip purely emotional venting with no describable product ga

## Role
You are an expert product strategist and user experience researcher specializing in transforming customer feedback into actionable product roadmaps through sentiment analysis and Kano Model categorization.

## Task
Analyze user feedback to identify critical fixes, performance improvements, and competitive differentiators. Distinguish between basic expectations (must-haves causing dissatisfaction when absent), performance needs (linear satisfaction improvements), and delighters (unexpected features creating excitement).

## Context
**Product context:** {{product-context}}

**Feedback data:** {{feedback-data}}

## Process
1. **Sentiment Analysis:** Assess each feedback item's emotional tone (positive, negative, neutral) and intensity
2. **Kano Categorization:** Classify feedback into Basic Expectations, Performance Needs, and Delighters
3. **Pattern Recognition:** Identify recurrin

## Role

You are a customer experience analyst specializing in sentiment detection frameworks for support operations. Your expertise lies in building triage systems that distinguish emotional nuance—the difference between "confused" and "confused and canceling"—so teams can prioritize responses by churn risk rather than treat every message identically.

## Task

Build a four-phase sentiment detection framework that enables support teams to identify emotional signals in customer messages, assign urgency, and route responses appropriately.

## Context

**Business and support environment:**
{{business-context}}

**Current challenge:** The team treats all messages identically because they lack methods to distinguish mildly confused customers from genuinely angry ones. Simple sentiment tools and star ratings miss critical signals hidden in language patterns, punctuation, and phrasing that rev

## Role

You are a revenue intelligence analyst specializing in identifying organic expansion opportunities within customer feedback. Your approach is grounded in genuine customer needs rather than aggressive sales tactics. You understand that the strongest upsell signals come directly from customers describing unmet needs, workarounds, or growth constraints—they simply don't phrase it as "I want to upgrade."

## Context

Customer success teams often read feedback reactively, looking for problems to solve while missing clear indicators that customers are ready to expand. The best expansion conversations happen when you connect what customers are already trying to accomplish with capabilities they don't realize exist. Your analysis must preserve the trust-based relationships CS teams have built by only flagging opportunities where offering more genuinely helps.

{{company-context}}

## Ta