Zymbler

The AI Analysis panel

Lead Score, AI Summary, qualification data — how every lead gets scored automatically.

5 min readdraft — expanding soon
This article is being expanded
The outline below is the structure we're writing into. If you need help with one of these topics today, email us and we'll walk you through it directly.

What this article will cover

  1. §01 Lead Score: how 0–100 is calculated (intent, budget, urgency, fit)
  2. §02 AI Summary: what the model reads, what it ignores
  3. §03 Qualification grid: budget, location, timeline, requirement
  4. §04 Next Action: how the recommended next step is generated
  5. §05 What changes when the human takes over
  6. §06 Tuning the score: which signals you can weight
  7. §07 When the AI doesn't have enough data: 'asking for more' state

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