SparrowGenie

What it does

Why I built it

the 0-to-1 story. Facts you can pull from:

• 10+ interviews with BDRs, AEs and Proposal Managers; 12 journeys mapped; 7 recurring coordination breakdowns that set the build order
• 8 PRDs, 30+ scoped user stories
• 30+ RFPs completed end-to-end in beta, 5 users across 2 teams
• 90% of RFP questions answered; infosec and sales review time down 30%
• prompt logic behind AI answer generation; LLM output evaluated against accuracy and relevance benchmarks, failures fed back into the next version

What I'd do differently

the shelving decision. Facts you can pull from:

• answer quality was gated on knowledge-base density: 4-6 weeks of regular use, feedback and training before output was customer-ready
• that pushed time-to-value and the deal cycle past what acquisition cost and runway could carry
• you took usage and pipeline data to the CEO and BU Head and made the case to shelve it
• you now run the same time-to-value test against the SparrowCRM roadmap