QR-master/docs/automations/greenlens-pain-mining-machine.md

GreenLens Pro Pain Mining Machine

Goal

Turn real plant-owner pains into content, ASO, influencer, landing page, and product opportunities.

Why This Exists

GreenLens Pro should be driven by what users actually worry about: yellow leaves, brown spots, root rot, overwatering, underwatering, pests, curling leaves, and not knowing what to do next.

Plugins And Skills

Need	Use
Review/comment exports	Coupler, CSV exports, Codex
App Store optimization	app-store-aso skill
Content clustering	content-strategy skill
Copy and hooks	copywriting skill
Support/outreach drafting	Gmail/Fyxer plugin
Product issue creation	GitHub plugin

Data Sources

Use any available source, but label the source for every pain:

• App Store competitor reviews
• Google Play competitor reviews
• Reddit plant-care threads
• TikTok or Instagram comments
• Google autocomplete or People Also Ask exports
• Support emails or user feedback
• Existing GreenLens analytics or onboarding responses

Pain Taxonomy

Cluster each item into one primary category:

• Yellow leaves
• Brown spots
• Root rot
• Overwatering
• Underwatering
• Curling leaves
• Drooping leaves
• Pests
• Light problems
• Soil and repotting
• Beginner confusion
• Diagnosis trust
• Price/paywall objection
• App usability issue

Scoring Model

Score each pain from 0-100:

Factor	Weight
User urgency	30
App fit	25
Content virality	20
ASO/search value	15
Product learning value	10

Prioritize urgent, visual, diagnosis-driven pains where GreenLens can credibly help the user decide what to check next.

Weekly Output

Produce:

1. Top 20 pains.
2. Top 10 social hooks.
3. Top 5 ASO keyword opportunities.
4. Top 5 blog or landing page ideas.
5. Top 5 product issues or feature hypotheses.
6. Top 10 influencer angles.

Codex Pain Mining Prompt

Run the GreenLens Pro Pain Mining Machine.

Use:
- docs/automations/greenlens-pain-mining-machine.md
- app-store-aso skill
- content-strategy skill

Input source: [reviews/comments/export/pasted text]
Market: [US / DE / global]
Platform focus: [iOS / Android / both]

Tasks:
1. Extract raw plant-owner pains.
2. Cluster them into the GreenLens pain taxonomy.
3. Score each pain by urgency, app fit, virality, ASO value, and product learning.
4. Convert winners into:
   - social hooks
   - ASO keyword ideas
   - blog/landing page ideas
   - product issues
   - influencer outreach angles

Do not invent source quotes. If evidence is weak, label it as hypothesis.

Output Template

# GreenLens Pain Mining Report

## Source Summary

## Top Pains
| Rank | Pain | Source | Score | Why it matters |
|---|---|---|---:|---|

## Hook Backlog

## ASO Opportunities

## Product Issues

## Influencer Angles

## Next Actions

Product Issue Template

Title: [Feature or improvement]

User pain:
[What the user is struggling with]

Hypothesis:
If GreenLens [change], users will [outcome].

Acceptance criteria:
- [criterion]
- [criterion]
- [criterion]

Measurement:
- activation
- scan completion
- paywall conversion
- retention

Success Criteria

• Every recommendation traces back to a real pain or explicitly marked hypothesis.
• Top pains can feed both ASO and social content.
• Product issues are concrete enough for GitHub.