Diagnose where a sales pipeline is actually leaking, not just report stage counts

Diagnose where this sales pipeline is actually losing deals and value — not a restatement of the numbers I give you, an actual diagnosis of the weakest point in the funnel and why it's weak.

PIPELINE STAGE DATA
Discovery: 40 deals / $2.1M. Demo: 22 deals / $1.4M. Proposal: 14 deals / $1.1M. Negotiation: 9 deals / $780K. Closed-won: 5 deals / $410K.

TIME PERIOD COVERED
Q3, July through September.

HISTORICAL BASELINE, IF KNOWN
Last quarter, Demo-to-Proposal conversion was 72%; this quarter it's showing lower.

CONTEXT ON WHAT CHANGED THIS PERIOD
Two new reps ramped mid-quarter and a competitor launched a lower-priced tier in month two.

Compare conversion rates stage-to-stage against the historical baseline if one is given; if no baseline exists, say explicitly that any conclusion about 'worse than normal' can't be made yet and instead identify which stage has the lowest raw conversion rate in this data alone. Identify the single stage transition losing the most total deal value, not the most deal count — a stage that loses ten small deals matters less than one losing three large ones. Connect that weak point to a plausible operational cause using the context I've given about what changed this period (new rep, pricing change, competitor entry, process change) rather than a generic explanation like 'follow-up needs improvement.' If the data is too thin to diagnose a cause with any confidence, say so and name exactly what additional data (win-loss reasons, rep-level breakdown, deal size distribution) would resolve the ambiguity, rather than guessing to fill the gap.

OUTPUT FORMAT
- One paragraph: the single weakest stage transition, in dollar-value terms, and why it's the priority over other stages.
- A short table: stage, conversion rate, comparison to baseline (or 'no baseline' noted), deal value lost.
- The most plausible operational cause, explicitly labeled as a hypothesis to validate, not a confirmed finding.
- If applicable, the specific additional data that would turn the hypothesis into a confirmed finding.