AI 提示詞： 客戶回饋

I need a customer feedback survey for [product/service/experience].

Goal of the survey: [what you want to learn]
Audience: [who will fill it out]
Survey length target: [number of questions]
Distribution method: [email, in-app, post-purchase, etc.]
Last survey sent: [when, or never]

Design the survey:
1. 8-12 questions in optimal order (easy to hard, closed to open)
2. A mix of rating scales, multiple choice, and open-ended questions
3. The one question that reveals the most actionable insight
4. NPS question placement and follow-up question for detractors
5. An incentive strategy that increases completion without biasing results
6. A pre-survey message that explains why their feedback matters (under 50 words)

Analyze this customer feedback and tell me what to prioritize:

[Paste 20-50 pieces of customer feedback: reviews, survey responses, support tickets, social comments]

Product/service: [what they're giving feedback on]
Recent changes: [anything you've changed recently]
Known issues: [problems you're already aware of]

Provide:
1. Theme analysis: group feedback into 5-7 categories with frequency counts
2. Sentiment breakdown: positive, negative, neutral percentages
3. The #1 issue to fix immediately (biggest impact, most mentioned)
4. Hidden insights: feedback patterns that aren't obvious on first read
5. Exact customer quotes that best represent each theme
6. A prioritized action plan: what to fix this week, this month, this quarter

Help me respond to these customer reviews:

[Paste 5-10 reviews with star ratings]

Business type: [what you do]
Brand voice: [professional/friendly/empathetic/casual]
Common misconceptions: [things reviewers often get wrong]
Changes you've made: [improvements based on past feedback]

For each review, write:
1. A personalized response (not generic 'thank you for your feedback')
2. Acknowledgment of their specific experience
3. For negative reviews: what you're doing to address the issue
4. For positive reviews: a genuine reaction that encourages loyalty
5. A subtle invitation to return or try something new
6. Flag any reviews that need private follow-up (and a DM template)

Help me act on our NPS results.

Current NPS score: [number]
Previous NPS score: [number and when]
Promoters feedback themes: [what happy customers say]
Detractors feedback themes: [what unhappy customers say]
Passives feedback themes: [what neutral customers say]
Response rate: [percentage who responded]

Build an NPS action plan:
1. Score interpretation: what our NPS really means in context
2. Top 3 actions to convert passives to promoters
3. Top 3 actions to reduce detractor volume
4. A promoter program: how to activate happy customers as advocates
5. Detractor rescue workflow: steps to save at-risk customers
6. Quarterly NPS improvement targets with specific initiatives for each

Help me prioritize these feature requests from customers:

[List 10-15 feature requests with: who requested it, how many times it's been asked, customer tier/value]

Product roadmap capacity: [how many features you can build this quarter]
Strategic priorities: [company goals this year]
Competitor features: [what competitors have that you don't]
Technical constraints: [anything limiting what you can build]

Prioritize and provide:
1. A scoring matrix: impact (revenue, retention, acquisition) x effort
2. The top 5 features to build, in order, with business justification
3. Features to explicitly NOT build (and how to communicate that)
4. A 'quick wins' list: low-effort features that delight customers
5. A customer communication plan for each decision (yes, not yet, no)
6. A feedback loop: how to validate the priority order with customers before building

Help me build a system that connects customer feedback directly to product decisions.

Current state: [how feedback reaches the product team today — or doesn't]
Feedback sources: [support tickets, surveys, reviews, social, sales calls, churned customer interviews]
Product team structure: [PMs, designers, engineers — how they work]
Sprint/release cadence: [how often you ship]
Biggest gap: [the disconnect between what customers say and what gets built]

Design a feedback-to-product pipeline:
1. Collection layer: how to tag and categorize feedback at the source (support, sales, reviews) with consistent taxonomy
2. Aggregation layer: how to centralize feedback from all sources into one view with theme detection
3. Signal detection: how to distinguish noise (one loud customer) from signal (pattern across many)
4. Product integration: how to inject customer evidence into sprint planning, roadmap reviews, and design critiques
5. Closed loop: how to notify customers when their feedback becomes a shipped feature
6. Measurement: how to track whether the pipeline is actually influencing product decisions (not just existing on paper)

Help me build a continuous customer feedback system.

Business type: [product/service/SaaS/e-commerce]
Customer base size: [number of active customers]
Current feedback sources: [surveys, support tickets, reviews, social — or none]
Team responsible: [who handles feedback]
Biggest feedback gap: [what you don't know about your customers]

Design a feedback ecosystem:
1. Feedback collection touchpoints: when and where to ask (map to customer journey)
2. Passive feedback sources: signals you can read without asking
3. A feedback aggregation system: how to centralize data from all sources
4. A weekly feedback review ritual: agenda, attendees, and action format
5. Closed-loop process: how to tell customers their feedback led to changes
6. Quarterly 'voice of customer' report template for leadership