Turn the open web into evidence. Build a repeatable pipeline that gathers reviews, forums and competitor data into clean, analysable datasets, with AI doing the heavy lifting.
Data Harvesting runs as two live 120-minute sessions, two days apart. Two cohorts coming up.
Your customers are already telling you everything, in reviews, forums, marketplaces and competitor threads. The problem was never the data. It was the days someone spends copy-pasting it into a spreadsheet, and the fact that next quarter you start from scratch. This workshop fixes both. You build a harvesting pipeline once: point it at the right sources, pull clean structured data at scale, analyse it, then run the same pipeline again next quarter.
We work end to end, on the same path you'll follow every time you run it after.
Frame the question first, so the data you gather actually answers it instead of piling up as text you hope means something.
Decide where to look and structure it before you pull a thing: reviews, forums, marketplaces, competitor sites.
A small, fast pull to prove the approach and catch the problems before you scale them.
The pipeline you can run again next quarter without starting over. This is the part that turns a one-off into a capability.
Gather at scale: clean, structured, deduplicated, ready to analyse rather than tidy up.
Turn the raw dataset into patterns you can stand behind: what's said, what it's about, how people feel.
From a wall of data to a clear point of view someone can act on. That was the reason for gathering it in the first place.
A small group, live and online. You build a real pipeline in the session, on a question of your own.
Organise the analysis, choose and structure your sources, and run a first sample so you know the approach works before you scale it.
Build the full repeatable architecture, run the extraction at scale, then analyse for content, theme and sentiment, and shape the story.
I've spent my working life turning messy real-world signal into evidence businesses can act on. This is the harvesting craft done properly, a method you can trust and repeat rather than a scraping hack.
More about me
A small group, live and online. Two 120-minute sessions, and a repeatable harvesting architecture you keep.
Want it for your team alone, built around your category and your sources? A private session on your own questions.