You buy syndicated research and know exactly how it is made. WorldbyFlow reads a market with every figure carrying its issuer, what that issuer counts, and the spread between estimates, instead of averaging away the disagreement that tells you something is wrong.
Written for Owns the market-sizing and buyer-research budget at a mid-to-large company.·Runs in the General domain
Most market sizing quietly averages estimates from sources with a stake in the number. You already know that; it is why the budget you own goes on reconciling figures as much as buying them. The scans here treat a figure as a claim with an issuer, so a market read, a buyer read or a poll comes back with the provenance you would otherwise have to reconstruct.
A sizing read where every figure names its issuer and states what it counts, and where divergent estimates are shown as a spread. The reconciliation you do by hand, done first.
Every claim about buyers graded as demonstrated, reported or inferred, so an inference never reads as an observation. The honesty rule for voice-of-customer work.
The numbers on a topic, each with its source and interpretation. The fast read when someone needs the figures and the caveats, not a narrative.
A number in your market moved and everyone has a story about why. This grades the candidate explanations against the record.
What consumers, operators and analysts say about a category, on the record and attributed. The qualitative layer under the sizing.
The order matters. The first read gives you the structure; the next ones fill the parts that are hardest to source by hand.
Go straight to the figures and their issuers. If the spread it reports matches the disagreement you already know about, the method is honest.
Read the grades on each claim. A "demonstrated" and an "inferred" look identical in most decks; here they are labeled.
Each figure with its source and interpretation, so the number that ends up in someone else's slide can be traced back.
Export the source list in BibTeX, RIS or CSL so the reference section of the report writes itself.
Every figure and quote links to where it came from. A claim the scan could not source is marked as such rather than dressed up.
Export the read as a PDF for the report appendix, or share it as a page a stakeholder can open with the sources live.
Ask a follow-up question of any result, or run a Red Team pass that tries to break its own conclusions before someone else does. How the grades work →
The AI-attributed layoff figure is a measure of what companies choose to disclose, not an independently audited count of jobs automation replaced, because Challenger's reason field depends entirely on employer language with no external verification step.
The fastest way to judge the result is to pick a subject you know cold and read it against what you know. If a colleague sent you here with an invitation, the credits land on your account when you sign up.