ThinkWork
Leader Template Free

Time-to-First-Deal Tracker Template

A four-tab spreadsheet template that plots every new-hire cohort against days-to-first-deal, with built-in formulas and benchmark bands, so a slipping ramp gets caught weeks before it shows up in quarter-end numbers.

How to use it

Copy the four tabs into a spreadsheet, plug in your own segment benchmarks in Tab 3, and review the OVERDUE filter every Monday.

What's inside

  • Tab 1: Individual rep tracker with ready-to-paste formulas
  • Tab 2: Cohort rollup with health-status formulas
  • Tab 3: Benchmark bands by segment (SMB / Mid-Market / Enterprise)
  • Tab 4: Trend-chart setup instructions
  • Conditional formatting rules for flagging overdue reps
  • Weekly leader review cadence
  • 3 red flags the tracker surfaces early

A single tracker that plots every new-hire cohort against days-to-first-deal, so a slipping ramp gets caught before quarter-end instead of showing up as a bad quarter after the fact. Copy the tables below into a spreadsheet (one tab per section).

Tab 1: Individual Rep Tracker

ColumnFieldNotes
ARep Name
BCohort (start month)e.g., "2026-Q1"
CStart Datedate rep began selling (post-training, quota-carrying start)
DSegmentSMB / Mid-Market / Enterprise: benchmarks differ by segment
EFirst Deal Closed Dateleave blank until closed-won
FDays to First DealFormula: =IF(E2="","",E2-C2)
GStatusFormula: =IF(E2<>"","Closed",IF(TODAY()-C2>90,"OVERDUE - flag","On track"))
HBenchmark (days)pull from Tab 3 based on segment
IVariance to BenchmarkFormula: =IF(F2="","",F2-H2): negative = ahead of pace
JManager
KMentor Assigned (Y/N)
LNotesfree text: stalled deal reasons, coaching actions taken

Conditional formatting rules to apply to column G:

  • "OVERDUE - flag" → red fill
  • "On track" → green fill
  • "Closed" → blue fill, then move row to Tab 2 (historical) at end of quarter

Tab 2: Cohort Rollup

ColumnFieldNotes
ACohort
B# Reps in Cohort
C# Reps with First Deal Closed
D% ClosedFormula: =C2/B2
EAvg Days to First Deal (closed only)Formula: =AVERAGEIF(Tab1!B:B,A2,Tab1!F:F)
FMedian Days to First DealFormula: =MEDIAN(IF(Tab1!B:B=A2,Tab1!F:F)) (array formula)
G# Reps Past Benchmark, Still Opencount reps with Status = "OVERDUE - flag"
HCohort HealthGreen if ≥70% closed within benchmark; Yellow 50–69%; Red <50%

Tab 3: Benchmark Bands (set once, review annually)

SegmentTarget Days to First DealWarning ThresholdCritical Threshold
SMB / Transactional30 days45 days60 days
Mid-Market60 days80 days100 days
Enterprise120 days150 days180 days

(Replace these with your own historical median from your last 4 cohorts if you have the data: these are illustrative starting points, not universal truths.)

Tab 4: Trend Chart (build from Tab 2)

  • X-axis: Cohort (chronological)
  • Y-axis: Avg Days to First Deal
  • Add a flat benchmark line per segment for visual comparison
  • Add a secondary bar series: % of cohort closed within benchmark

What to look for: a rising line cohort-over-cohort is your earliest warning that ramp is slipping, it will show up in this chart 4–8 weeks before it shows up in quarterly bookings.

How to Use This Weekly (Leader Cadence)

  1. Every Monday, filter Tab 1 for Status = "OVERDUE - flag": this is your action list, not a report to file away
  2. For each flagged rep, ask the manager: what's the specific blocker (pipeline volume, skill gap, territory quality, personal)?
  3. Update column L with the blocker and the action taken
  4. Review Tab 2 cohort rollup once a month with sales leadership, this is the quarter-end-slip early warning
  5. At the end of each quarter, archive closed cohorts to a "Historical" tab and recompute your Tab 3 benchmarks annually using trailing 4-quarter medians

Red Flags This Tracker Will Surface Early

  • A whole cohort trending slower than the previous cohort (points to onboarding/training quality, not individual reps)
  • One segment consistently missing benchmark (points to territory quality or lead flow, not rep skill)
  • Reps with a mentor assigned closing meaningfully faster than reps without one (makes the business case for a Buddy Program with data, not just gut feel)
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