# Intake Prompts

## Scope prompt (Step 1)

```
Let me help you aggregate and analyze customer reviews.

Please specify:
1. Your Product/Company: [Name]
2. Platforms to Analyze:
   - [ ] G2
   - [ ] Capterra
   - [ ] Trustpilot
   - [ ] App Store
   - [ ] Google Play
   - [ ] ProductHunt
   - [ ] Reddit
   - [ ] Twitter/X

3. Competitors to Compare (optional): [Names]
4. Analysis Focus:
   - [ ] Overall sentiment trends
   - [ ] Feature-specific feedback
   - [ ] Pain point identification
   - [ ] Marketing claims extraction
   - [ ] Competitive comparison
   - [ ] Feature request analysis

5. Time Period: Last [30/60/90/180] days
```

## Data collection prompt (Step 2)

```
To analyze reviews, I need access to review data. Here are the options:

Option A: Manual Copy/Paste
- Copy reviews from the platforms into a text file and I will analyze the content.

Option B: CSV Export
- Export reviews from platforms (if available) and upload the CSV files.

Option C: URLs
- Provide URLs to review pages and I will use WebFetch to analyze public reviews.

Which method works best for you?
```

## Example use cases

### Use Case 1: Competitive Review Analysis
```
User: "Analyze our G2 reviews vs. Competitor A and Competitor B"
```
Aggregate reviews for all three products, build the competitor comparison table, surface competitor weaknesses, and recommend positioning.

# Output Templates

Templates for each analysis type. Populate from the gathered review data.

## Pain point identification

Extract and categorize customer pain points by frequency, impact, and recommendation.

```markdown
## Top Pain Points (by frequency)

### 1. Onboarding Complexity (mentioned in 34% of reviews)
- "Setup took 3 weeks with our IT team"
- "Documentation was confusing for non-technical users"
- "Wish there was better onboarding support"

**Impact**: High - affecting trial-to-paid conversion
**Recommendation**: Create interactive onboarding wizard + video tutorials

### 2. Mobile App Performance (mentioned in 28% of reviews)
- "App crashes on iOS frequently"
- "Android version is slow and buggy"
- "Can't access key features on mobile"

**Impact**: Medium - reducing daily active usage
**Recommendation**: Prioritize mobile optimization in Q2 roadmap
```

## Marketing claims extraction

Generate evidence-backed marketing claims, each tied to supporting reviews, a confidence level, and a recommended use case.

```markdown
## Marketing Claims (from 500+ reviews)

### Claim: "Saves teams 15+ hours per week"
**Supporting Reviews (78 mentions)**:
- "Cut our reporting time from 20 hours to 4 hours" - VP Marketing, TechCorp
- "Team saves 3 hours daily on data entry" - Operations Manager, FinanceHub
- "Automated workflows freed up 15 hours weekly" - CEO, StartupXYZ

**Confidence Level**: High (78 mentions, avg 15.3 hours saved)
**Use Case**: Homepage hero section, case studies

### Claim: "Industry-leading customer support"
**Supporting Reviews (156 mentions)**:
- "Best support I've experienced in 10 years" - IT Director
- "Response time under 2 hours, always helpful" - Product Manager
- "They actually listen and implement feedback" - Founder

**Confidence Level**: High (4.8/5 support rating across platforms)
**Use Case**: Pricing page, competitive battle cards
```

## Competitor comparison

Side-by-side analysis. Mark category leaders in a dedicated "Leader" column rather than inline symbols.

```markdown
## Competitor Analysis: Your Product vs. Competitor A vs. Competitor B

| Metric | Your Product | Competitor A | Competitor B | Leader |
|--------|--------------|--------------|--------------|--------|
| Overall Rating | 4.6/5 (G2) | 4.3/5 | 4.1/5 | Your Product |
| # of Reviews | 847 | 1,243 | 623 | Competitor A |
| Support Rating | 4.8/5 | 4.1/5 | 3.9/5 | Your Product |
| Ease of Use | 4.2/5 | 4.5/5 | 3.8/5 | Competitor A |
| Value for Money | 4.0/5 | 3.7/5 | 4.3/5 | Competitor B |
| Feature Breadth | 4.7/5 | 4.4/5 | 4.2/5 | Your Product |

### Your Competitive Advantages:
1. **Superior Support** - 0.7 points ahead of nearest competitor
2. **Feature Richness** - Most comprehensive feature set
3. **Growing Review Volume** - 34% increase in 6 months

### Competitor Weaknesses to Exploit:
1. Competitor A: "Expensive for small teams" (mentioned 89 times)
2. Competitor B: "Poor customer support" (mentioned 123 times)
3. Competitor A: "Difficult to customize" (mentioned 67 times)
```

## Feature request analysis

Identify what customers want, ranked by mentions with urgency and competitor coverage.

```markdown
## Top Feature Requests (from 847 reviews)

| Rank | Feature | Mentions | Urgency | Competitor Has? |
|------|---------|----------|---------|-----------------|
| 1 | API Access | 156 | High | Competitor A: yes |
| 2 | Mobile Offline Mode | 134 | Medium | None |
| 3 | Advanced Reporting | 112 | High | Competitor B: yes |
| 4 | Slack Integration | 98 | Low | Both: yes |
| 5 | Custom Dashboards | 87 | Medium | Competitor A: yes |

**Priority Recommendations**:
1. **API Access** - Table stakes feature, blocking enterprise deals
2. **Advanced Reporting** - High demand, competitive parity needed
3. **Mobile Offline Mode** - Differentiation opportunity, no competitors offer
```

## Full analysis report

Master report template populated in Step 3 of the workflow.

```markdown
## Review Analysis Report

**Analysis Period**: [Date Range]
**Total Reviews Analyzed**: [Count]
**Platforms Covered**: [List]

### Executive Summary
[2-3 sentence overview of key findings]

### Overall Sentiment
- Positive: [%]
- Neutral: [%]
- Negative: [%]
- Average Rating: [X.X/5]
- Trend: [Improving / Stable / Declining]

### Feature Sentiment Breakdown
[Table of features with sentiment scores]

### Top Pain Points
[Ranked list with frequency and impact]

### Marketing Claim Opportunities
[Evidence-backed claims with supporting quotes]

### Competitive Insights
[Comparison with competitors if provided]

### Feature Requests
[Prioritized list of customer requests]

### Recommended Actions
1. [Immediate action item]
2. [Short-term priority]
3. [Long-term strategic initiative]
```

## Deliverable formats

Offer these output formats after the analysis is complete:

1. Executive Summary (1-page PDF)
2. Detailed Analysis Report (multi-page document)
3. Competitive Battle Card (sales enablement)
4. Product Roadmap Input (feature prioritization)
5. Marketing Claims Library (with supporting evidence)
6. Pain Point Presentation (presentation slides)

# Review Sources

Supported review platforms and what each covers:

- G2 - B2B software reviews
- Capterra - business software marketplace
- Trustpilot - general business reviews
- App Store - iOS app reviews
- Google Play - Android app reviews
- ProductHunt - product launches
- Reddit - community discussions
- Twitter/X - social sentiment

## Sentiment dimensions

Analyze reviews across these dimensions:

### Overall sentiment
- Positive, neutral, negative distribution
- Trend analysis over time
- Rating breakdown (1-5 stars)
- NPS calculation (if applicable)

### Feature-level sentiment
For each named feature, report positive vs negative mention counts, common phrases, and a 0-10 sentiment score.

```
Feature: "Customer Support"
- Positive mentions: 156 (78%)
- Negative mentions: 44 (22%)
- Common phrases: "quick response", "helpful team", "slow to resolve"
- Sentiment score: 7.8/10

Feature: "Pricing"
- Positive mentions: 89 (45%)
- Negative mentions: 108 (55%)
- Common phrases: "expensive", "not worth it", "good value for enterprise"
- Sentiment score: 5.2/10
```