Track Record — Data Aggregators
Validate
Testing ideas fast before committing resources — in Data Aggregators
Most startups don't fail because the idea was bad. They fail because they spent too long building the wrong version of a good idea. Validation is about compressing the distance between hypothesis and evidence.
Why this matters in Data Aggregators
Data aggregation businesses live or die by the quality, reliability, and usability of the data they serve. The product challenges are distinct: ingesting from fragmented sources, normalising messy data, and packaging it into something customers will pay for. We help data aggregators build product and delivery discipline around their pipelines — so the focus shifts from collecting data to delivering insight.
The outcome
Founders get clarity fast. Either the idea has legs and you move forward with confidence, or you learn early and preserve capital for the next attempt. Both outcomes are valuable.
Our approach
- 01
Define the riskiest assumptions and design experiments to test them
- 02
Build lightweight prototypes — clickable, functional, or concierge — to gather real user feedback
- 03
Run structured customer discovery to validate demand before writing production code
- 04
Create decision frameworks so founders know when to pivot, persevere, or kill the idea