Overview
An early-stage product that ingests win/loss data and helps companies discover and align on their true ideal customer profiles.
Who it's for
B2B SaaS companies, product leaders, sales, and marketing teams.
Problems it solves
- →Win/loss data is scattered in CRMs, spreadsheets, and people's heads
- →ICP definitions are often guesswork, not grounded in real data
- →Product and GTM teams lack a shared understanding of "who we win with and why"
Key use cases
- →Import win/loss data and normalize it into a structured, queryable dataset
- →Explore visual dashboards that surface patterns in wins/losses and buyer traits
- →Build personas from actual buyer behavior instead of static marketing assumptions
- →Share views and insights across teams to align roadmaps, messaging, and targeting
My contributions
- →Designed data ingestion and normalization interface
- →Created visual dashboards surfacing win/loss patterns
- →Built persona generation tools from buyer behavior data
- →Designed cross-team sharing and alignment views