AI Sales Funnel Analysis Dashboard from CSV

Most sales teams already track a funnel — it lives as a saved view in Salesforce or HubSpot and shows the dollar value at each stage. The view is rarely the problem. The problem is that nobody has time to compute the second-derivative numbers — stage-to-stage conversion, average days-in-stage, win-rate by source, win-rate by rep — until quarter-end, by which point it is too late to act on them. Sreniq computes all of these from a single pipeline export in seconds. The output is the report your VP of Sales asks for monthly, except it is also the report your CRO can self-serve weekly.

Where a CRM export almost always falls short is segmentation. The list view shows you the funnel for everyone, but the interesting question is usually 'how does the funnel differ for inbound vs outbound?' or 'is our enterprise pipeline actually converting at the rate we forecast?'. With Sreniq you ask in plain English — 'split this funnel by lead source' or 'show win rate by deal size band' — and get a side-by-side breakdown. Stalled-deal lists are similarly easy: 'find every deal in Negotiation with no activity for 30 days' returns the table your AEs need to triage.

For most teams the best cadence is one consolidated dashboard per week, refreshed by re-uploading the latest export, plus ad-hoc questions during the forecast call. Each story has a public link, so the dashboard you build can be shared with the exec team without giving them CRM access. Sreniq is descriptive, not predictive — it tells you what happened to your pipeline, not what will happen — but the descriptive layer is what most teams are missing.