I need to reverse-engineer my Ideal Customer Profile from my won deals. Here are my last 10 closed-won deals with the details I can share:

Deal 1: [Company name], [industry], [employee count], [deal size], [sales cycle length]. Champion: [their role]. Main pain point: [what problem they were solving]. Trigger: [what initiated their buying process — e.g., new VP hired, competitor launched a feature, failed audit]. Tech stack: [tools they used that are relevant]. Competitors in the deal: [who else they evaluated].

[Repeat for deals 2-10]

Based on these wins, extract:
1. The firmographic pattern — what do these companies have in common in terms of size, industry, and geography?
2. The technographic pattern — what tools, platforms, or infrastructure appear across multiple wins?
3. The behavioral pattern — what signals did these companies emit before they entered the buying cycle (hiring patterns, content themes, event attendance)?
4. The situational triggers — what events or changes triggered the buying process?
5. The anti-pattern — are there any traits that NONE of my wins share? These are disqualification criteria.

Format the output as a one-page ICP document I can share with my SDR team. Include specific thresholds (e.g., "50-200 employees" not "mid-market").