RFP.co

Before you sign a contract for recompete forecasting software, the scoping questions matter more than the demo. This episode breaks down how to pressure-test coverage, signal quality, and accuracy claims before your team is locked in.

Show Notes

Recompete forecasting tools are easy to buy and hard to use well. This episode of RFP.co walks through the exact questions capture teams should ask — and get answered in writing — before committing to a platform built around predicting contract recompetes. The conversation moves from contract coverage to signal quality to accuracy claims, with an honest look at what separates a live intelligence tool from a dashboard that collects dust by week three. The discussion draws from the recompete forecasting rollout scoping guide on the RFP.co blog.

Here's what the episode covers:

  • Coverage first, features second: Knowing which solicitation types, vehicles, and data sources a vendor's model actually ingests — including how they handled the 2026 migration of contract award data from FPDS to SAM.gov — is the first line of due diligence.
  • Agency forecast realities: Published procurement forecasts vary wildly in format across agencies, with the vast majority of records falling under $10M and carrying small-business set-asides. If a vendor's filtering doesn't match your sweet spot, the signal-to-noise ratio will overwhelm your team.
  • What separates prediction from a list: A genuine recompete prediction capability scores whether work will re-solicit at all, estimates RFP timing with visible reasoning, and flags incumbent-displacement signals — not just an expiring-contract feed sorted by date.
  • The black-box test: Ask any vendor to walk through two scored opportunities from your live pipeline and name the top three signals driving each score. A shrug or a "proprietary model" answer is a scoping fact, not a selling point.
  • Reading accuracy claims honestly: A defensible number names the population scored, the prediction window, the event being predicted, and the baseline it beats. Headline percentages without those four anchors are marketing, not measurement.
  • Backtesting before you commit: Running a pilot on a closed twelve-month window — your wins, losses, and no-bids you regret — with predefined success criteria is the most reliable way to convert a promising demo into a tool your team will actually use. Research on enterprise AI pilots found that pre-registered criteria made production conversion more than three times as likely.

For teams working through the earlier stage of deciding which opportunities to chase in the first place, RFP.co's go/no-go scoring tool applies structured criteria before pipeline resources are committed. More from the show: if you're turning contract intelligence into actual proposal work, the episode How to Shred an SOW Into a Section-by-Section Writing Plan picks up where forecasting leaves off.

RFP.co

What is RFP.co?

Procurement discovery and proposal automation, from both sides of the table. Finding the right opportunities, qualifying out early and without regret, building a reusable answer library, pricing decisions, and the operational discipline that turns responses from heroics into a repeatable process.

Each episode takes one part of the cycle — a bid/no-bid call, a compliance matrix, a debrief worth requesting — and works it through practically. Written for capture managers, proposal teams and the small companies competing against much larger ones. Five or six minutes an episode.

Topics include bid/no-bid decisions, opportunity discovery and filtering, compliance matrices, reusable answer libraries, pricing and win themes, past performance narratives, debriefs worth requesting, and competing against much larger incumbents.

Produced by RFP.co, procurement discovery and proposal automation. Full details, services and further reading at https://rfp.co