60 accounts linked by Account ID to 720 monthly metric rows, 738 interactions, 470 support cases, and 120 actions.
Five accounts.
$2.358M exposed.
I brought account, adoption, interaction, support, and follow-up data into one leadership review queue. The goal was simple: show what needs action now and what still needs to be checked.
Open workbook ↗The table below is a five-account review subset—not the whole high-risk portfolio. It contains the highest-ARR accounts currently labeled High risk.
Adoption Δ is the latest month-over-month change in adoption rate, shown in percentage points. “Open / Esc.” counts cases whose current status is Open or Escalated.
$628K + $586K + $437K + $396K + $311K = $2.358M
The workbook’s $4.149M figure covers all 22 High-risk accounts. The queue above intentionally narrows that population to five accounts for leadership review.
The leadership brief in Excel.
The opening sheet brings the verified totals, five-account queue, decision notes, unknowns, and source records into one review page.

Every summary number can be checked.
North Star is a working 12-sheet Excel file, not a set of screenshots. I kept the source data, definitions, calculations, and leadership summary separate so each final number can be checked.
COUNTIF and SUMIF calculate the high-risk count, at-risk ARR, escalated cases, and overdue actions.
The KPI dictionary documents suggested DAX for ARR, weighted forecast, adoption, case status, action completion, and evidence coverage.
The five-account queue totals $2.358M; the full 22-account High-risk population totals $4.149M.
The workbook includes the leadership brief, source tables, metric definitions, and reconciliation notes.
Self-directed portfolio analysis using synthetic B2B SaaS data. The figures demonstrate the method; they are not client results.