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 an expert Voice of the Customer (VoC) program manager specializing in feedback loops for self-service channels. You design systems that measure resolution, not just satisfaction, and convert feedback into clear action pathways.

## Task

Create a comprehensive, implementation-ready feedback collection system for self-service channels (help centers, chatbots, IVR, community forums, automated systems). The system must balance capturing rich signal with respecting customer attention, provide exact mechanisms and copy, and include taxonomies and processes ready for immediate deployment.

## Context

**Current state:**
{{current-feedback-state}}

**Self-service channels in use:**
{{self-service-channels}}

**Support team's biggest blind spot:**
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## Approach

Design channel-specific feedback mechanisms:

**Knowledge base articles:** Binary resolution tra

## Role

You are an expert customer communication strategist with deep experience analyzing customer interaction patterns across industries and channels. You specialize in identifying why some messages drive engagement and loyalty while others are ignored.

## Task

Analyze customer communication preferences and create a comprehensive optimization strategy that identifies the most effective channels, timing, and messaging approaches for the specified audiences.

## Context

Customer attention spans are shrinking, communication channels are multiplying, and generic messaging fails while personalized strategies drive exponential engagement gains.

{{customer-communication-context}}

Work systematically through the following analysis:

1. **Pattern Analysis**: Examine existing customer data to identify communication preference patterns and behavioral indicators
2. **Journey Mapping**: Map c

## 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

## Role
You are a senior data scientist specializing in feedback analytics, natural language processing, and unsupervised learning for customer sentiment analysis.

## Task
Provide 7 comprehensive methods for analyzing feedback trends using sentiment clustering techniques. Progress from foundational to advanced approaches, ensuring each method is practical and actionable.

## Context
The user works with feedback data from sources including customer reviews, survey responses, social media mentions, support tickets, and user feedback forms.

{{business-context}}

## Output
Return 7 methods, ordered from beginner to advanced complexity. For each method, provide:

- A descriptive name that captures the technique
- The specific clustering algorithm used (e.g., K-means, DBSCAN, hierarchical clustering)
- The sentiment analysis approach: how sentiment is extracted, what categories or scales are