Turn customer signal into product that ships.
FounderEdge Analytics helps early-stage and exploring teams do the upstream work that decides everything downstream — rigorous customer discovery, honest analytics, and AI that actually ships.
Most teams aren't short on effort. They're short on signal.
The work that decides whether a product succeeds happens upstream — in the conversations, the data, and the judgment calls. That is exactly where it tends to go wrong.
Discovery calls drift into sales calls — and polite enthusiasm gets logged as demand.
Data piles up faster than decisions. The dashboard grows; the clarity doesn't.
AI ambition outpaces AI judgment — tools get adopted before anyone audits whether they actually help.
Three ways we help you build the right thing.
Engagements are scoped to the decision you are trying to make — not billed by the slide.
Customer Discovery & Validation
Interview programs, signal analysis, and the Pain Point and Jobs-to-be-Done frameworks that separate real demand from polite enthusiasm — so you stop building on a maybe.
Data & AI Strategy
Turn messy data and AI ambition into decisions — analytics that answer real questions, plus practical, audited AI tooling your team will actually adopt and trust.
Product & Go-to-Market
From a fuzzy idea to a scoped MVP and a go-to-market motion that holds — product strategy and GTM structure for teams moving into a new space.
Built hands-on, not from a deck.
FounderEdge is led by someone who has done the work inside startups — discovery, product, and go-to-market — not just advised on it from the outside.
Evidence over enthusiasm
Every recommendation traces back to real signal — interviews, data, behavior — graded for how much weight it can actually bear.
Structure into ambiguity
Early-stage work is chaos. The job is to bring frameworks and a clear next decision without pretending the uncertainty away.
Made to ship
Deliverables are things teams act on — scoped specs, prioritized roadmaps, working tooling — not reports that get bookmarked and forgotten.
S
Shay is a builder and problem-solver who has helped build three early-stage startups from the inside, and has run 140+ customer and founder interviews across eight countries. She is currently an Entrepreneur-in-Residence at Reveal.ai and an AI & data consultant to SiriusPoint.
She holds an MS in Computational Analysis & Public Policy from the University of Chicago — a computational toolkit paired with a policy lens. FounderEdge Analytics is how she brings that hands-on experience to other teams: turning the messy upstream work of discovery and data into product that ships.
How working together actually works.
What does a typical engagement look like?
It starts with the decision you are trying to make, not a fixed package. Most engagements run a few weeks — a discovery sprint, a data or AI assessment, or a product/GTM scoping project — and end with something concrete your team can act on.
Who do you work with?
Early-stage and exploring teams — solo founders, small founding teams, and groups inside larger organizations moving into a new space. The common thread is upstream ambiguity: real questions about customers, data, or what to build.
How is FounderEdge different from a research agency?
A research agency hands you findings. FounderEdge is run by a builder who has shipped product, so the work ends in decisions and deliverables — scoped specs, prioritized roadmaps, working tooling — not a report that gets bookmarked and forgotten.
Have a hard problem worth solving?
Whether you are validating a new idea, untangling your data, or scoping a first product — start with a conversation. No pitch deck required.
shaywei@founderedgeanalytics.com