47% of opportunities had close dates pushed two or more times without any accompanying stage progression or documented buyer action. The pattern is consistent across all deal sizes and all six reps reviewed. This creates a false confidence layer in the committed forecast: deals appear active, but buyer momentum is not reflected in any field.

58% of closed-lost deals carry “Other” or a blank as the loss reason. Win/loss pattern recognition is impossible at this data quality level. Pipeline health scoring, rep coaching by loss pattern, and ICP refinement all require reliable loss categorization. Currently, Northmark cannot answer the question: what do we most commonly lose to, and why?

Stage 4+ deals with no logged meeting, email reply, or documented next step in the past 21 days represent $1.4M in pipeline. These deals appear in the submitted forecast but carry no evidence of active buyer engagement. In 42 structured deal inspections, this pattern correlated with non-conversion in 89% of historical cases at a similar stage.

61% of new pipeline was created in the final three weeks of Q2 2025. This pattern is consistent across all six quarters analyzed. Pipeline created under end-of-quarter pressure to hit coverage ratios has a historically lower conversion rate and longer sales cycle. It also distorts the following quarter’s forecast, since the pipeline count looks healthy but the vintage quality is lower.

In four of six quarters, the final-week forecast submission changed by more than 18% from the prior week’s number. This is a symptom of deal advocacy overriding data review: managers accept rep positions rather than interrogating deal evidence. A structural change requires a documented inspection protocol applied before final numbers are locked, with defined criteria for what can be in Commit versus Best Case.