Track Record: Data Aggregators
Validate
Testing ideas fast before committing resources, in Data Aggregators
Plenty of startups with good ideas fail because they spent too long building the wrong version of them. Validation is about getting from hypothesis to evidence as quickly as possible.
Why this matters in Data Aggregators
Data aggregation businesses live or die by how reliable and usable their data is. The product problems are specific: 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 team spends less time collecting data and more time turning it into something customers pay for.
The outcome
Founders get a clear answer quickly. Either the idea has legs and you move forward with confidence, or you find out early and keep your capital for the next attempt. Either result is useful.
Our approach
- 01
Define the riskiest assumptions and design experiments to test them
- 02
Build lightweight prototypes (clickable, functional or concierge) to get feedback from real users
- 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