Research prospect company systematically
sales-researchskillsetup L2★591
zubair-trabzada/ai-sales-team-claude ↗Causal-lift measurements
sales-strategy+12pp vs no-skill baselinewith-skill 72% · baseline 60%
Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.
What it does
Research prospect company across 8 structured dimensions
Best for
Sales or BD teams researching prospect fit before outreach — produces standardized intel across 8 dimensions (strategy, positioning, team, tech stack, customers, funding, competitors) faster than manual research.
Inputs
- · Prospect URL
- · Discovery briefing (optional, pre-fetched page content)
Outputs
- · COMPANY-RESEARCH.md with 8 research dimensions
- · Company Fit Score (0-100)
- · Structured company data (founding story, team, pricing, tech stack)
Requires
- · WebFetch
- · WebSearch
Preconditions
- · Prospect URL or website accessible
- · Optional: discovery briefing pre-populated
Failure modes
- · Website requires interactive login or client-side rendering (JS-heavy sites)
- · Company is pre-revenue/stealth (minimal website data)
- · External data sources (Crunchbase, LinkedIn) are outdated or paywalled
- · Conflicting data across sources — relies on source priority hierarchy
Trust signals
- · 8-dimension framework (website analysis, tech stack detection, web research, source priority hierarchy)
- · Data freshness requirements specified (employee count <6 months, funding data recent)
- · Phase-by-phase breakdown with specific page targets and signal sources