How Pain Radar works
Pain Radar is the intelligence layer. It detects what problems people have and how urgently they need solutions.
What is a pain card?
A pain card is a structured record of a specific problem:
| Field | What it means |
|---|---|
| Summary | One-line description |
| Pain Score | How much it hurts (0-100) |
| Urgency Score | How soon they need a solution |
| Commercial Intent | Will they pay? (0-100) |
| Tags | Categories (CRM, Automation, etc.) |
| Status | New, Scored, Converted |
How pains are created
AI extraction: When you add lead notes like "Frustrated with Jira's complexity, spent 3 hours on sprint planning" — the AI extracts:
- Pain: "Sprint planning is too time-consuming"
- Pain Score: 75
- Commercial Intent: 80
Manual creation: You can also create pain cards manually when you hear about problems.
Pain scoring
Each pain card gets three scores:
Pain Score (0-100): How intensely they feel this problem. Higher = more painful.
Urgency Score (0-100): How soon they need a solution. Higher = more urgent.
Commercial Intent (0-100): How likely they are to pay for a solution. Higher = better prospect.
How pains improve outreach
When generating a draft for a lead with pain cards, the AI:
- Reads their specific pains
- Connects your product to those pains
- Writes an email addressing their problem
Without pain card:
"Hi Sarah, I wanted to introduce TaskFlow, our project management tool..."
With pain card:
"Hi Sarah, I noticed your team spends significant time on sprint planning. TaskFlow uses AI to suggest realistic sprint scopes based on your actual velocity. Teams cut planning time by 70%..."
The second email gets 3x more replies.
Pain clustering
When you have many pain cards, clustering groups them into themes. This reveals market patterns invisible at the individual level.
Go to Pain Radar → Clusters to see grouped pains and their aggregate scores.