Sales KPI Dashboard
- Source
- sample-data.csv · 6 rows
Pipeline coverage
3.2x
+0.4xWin rate
24%
+1.8ppAvg. deal size
$14.2k
+5.1%Sales cycle
38 days
-4 daysClosed-won revenue by month
Sample data — trailing 6 months
A sales KPI dashboard exists to answer "will we hit the number?" early enough to act. That means leading indicators — pipeline coverage and stage conversion — get equal billing with the closed-won trophy metrics.
Pipeline coverage
3.2x
+0.4xWin rate
24%
+1.8ppAvg. deal size
$14.2k
+5.1%Sales cycle
38 days
-4 daysClosed-won revenue by month
Sample data — trailing 6 months
Live render with sample data — upload your own export and this structure regenerates from your numbers, with the computation attached to every figure.
Everything you need to know about using AnalyzeData.
Balance outcome metrics (closed-won, quota attainment) with the leading indicators that predict them: pipeline coverage, stage-to-stage conversion, win rate, and cycle length. The leading half is what makes the dashboard actionable rather than historical.
Export opportunities from your CRM (HubSpot, Salesforce, Pipedrive all export CSV), upload the file, and ask for your pipeline review. Every number is computed from the actual export with the code attached.
Use the median. Sales cycle length is the days from opportunity creation to close, and a single unusually long enterprise deal, a whale, drags the mean upward and misrepresents a typical deal. The median tells you what most reps actually experience. The same caution applies to deal size: pair it with win rate before deciding whether to fix quality or quantity.
Pipeline coverage is open pipeline value divided by remaining quota, and below roughly 3x most teams miss. That is why it deserves top billing as a leading indicator: it flags a shortfall early enough to act, while the closed-won number only confirms the miss after the quarter is gone. Track it by segment and rep so one bloated forecast does not hide a thin one.
Upload the export you already have — the dashboard computes itself, verifiably.
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