rfp-reverse-engineer

To reverse-engineer an RFP, you parse the document text to reconstruct the contracting officer's decision tree, surfacing hidden evaluation factors, ghost language, and missing section signals. This reveals the true intent behind the requirements.

Ghost language refers to ambiguous or unmeasurable requirements in an RFP, while hot buttons are hidden preferences and discriminator opportunities. Identifying both helps reconstruct the CO's hidden decision tree to understand true evaluation priorities.

You can extract a decision tree by processing the RFP text and cross-referencing it with a knowledge graph of requirements and deliverables. This process maps evaluation factors to reconstruct the hidden decision logic automatically.

Yes, reconstructing the decision tree and surfacing hidden preferences requires access to the RFP document alongside a knowledge graph of requirements, deliverables, and evaluation factors to accurately map the contracting officer's intent.

Detecting missing section signals involves scanning the RFP structure to flag omitted sections that could indicate potential issues or hidden constraints. This analysis highlights critical gaps in the document that require further attention.