Prospecting

Help me define my Ideal Customer Profile (ICP).

Context:
- My product: [WHAT YOU SELL]
- Best customers today: [DESCRIBE YOUR TOP 3-5]
- Worst customers: [WHO CHURNED OR WAS A BAD FIT]
- Deal size target: [ACV RANGE]
- Sales cycle goal: [LENGTH]

ICP needs to define:
1. Firmographics (size, industry, geography, growth stage)
2. Technographics (tech stack, tools they use)
3. Buying triggers (events that create need)
4. Stakeholders (titles involved in buying)
5. Pain indicators (signals they have the problem)
6. Disqualifiers (red flags that mean bad fit)

Output a one-page ICP doc I can share with my team.

Research [COMPANY NAME] and give me a briefing for sales outreach.

I need:
1. Company overview (what they do, size, funding, growth)
2. Recent news (last 6 months)
3. Key executives (names, backgrounds, LinkedIn)
4. Tech stack (what tools they likely use)
5. Potential pain points (based on their stage/industry)
6. Competitors they might use
7. Trigger events (why now might be good timing)
8. Conversation starters (hooks for outreach)

My product: [WHAT YOU SELL]
Target persona: [TITLE I'M REACHING]

Format as a one-pager I can reference before calling.

Help me build a lead scoring model.

Context:
- Lead sources: [INBOUND / OUTBOUND / EVENTS / etc.]
- Current volume: [LEADS PER MONTH]
- Conversion rate: [MQL TO SQL / SQL TO OPP]
- Sales team capacity: [REPS AND BANDWIDTH]
- What makes a good lead: [YOUR BEST LEADS]

Scoring model needs:
1. Demographic score (firmographic fit)
2. Behavioral score (engagement and intent signals)
3. Score thresholds (hot/warm/cold or MQL/SQL)
4. Routing rules (who gets which leads)
5. Score decay (how scores change over time)

Output:
- Scoring rubric with points per criteria
- Threshold definitions
- Routing logic
- Process for score calibration