Case studies
Five people, five workflows, one instrument.
Anonymized accounts of how a journalist, a researcher, a newsletter analyst, a foundation comms team, and a university librarian use SiftingSignal in production. Each case study has a real data shape, a real cost line, and a tier-specific next-step.
How a media-criticism reporter fact-checked a viral AI hiring claim in 23 minutes
DI 78 across 18 outlets surfaced a sharp split the wire copy missed — and turned a forwarded press release into a publishable column.
Research API Pro · $499/moTracking consensus drift on a clinical topic over six quarters
A health-services researcher pulled the bulk-export feed for six consecutive quarters and turned 12 rows into Table 3 of a peer-reviewed paper.
Newsletter API Pro · $499/moA weekly "disagreement check" — embedding consensus maps in an analyst newsletter
Embedded widget became the most-clicked element of the newsletter in six weeks — and pulled an underused tier of subscribers into careful comments.
Communications API Starter · $99/moA foundation comms team monitors Disagreement Index on health-misinfo topics
Slack alerts on three topics. Six-hour average lead-time advantage on responsive editorial briefs. Zero false-positive panic days in the first quarter.
Information literacy FreeWhy a research librarian recommends SiftingSignal to graduate students
A university research librarian added the consensus map to a methods seminar. Memos citing sources from ≥ 3 tiers rose from 28% to 79%.
Want to be featured?
If you're using SiftingSignal in a workflow we haven't documented yet — research, journalism, newsletter publishing, policy, education — we'd like to hear about it. Anonymized by default.