ThinkWork
Leader Template Free

Outbound Cold Calling KPI Dashboard Template

A ready-to-build dashboard structure — tabs, fields, and formulas — tracking dials, connect rate, talk time, and meetings booked per rep and per team, with a quality overlay so volume is never measured in isolation from call quality.

What's inside

  • 4 tabs: Rep Scorecard, Team Trends, Ramp/Cohort View, Quality Overlay
  • Full column list for the per-rep daily/weekly scorecard
  • 5 explicit formulas including the Quality-Adjusted Meeting Rate
  • Directional reference ranges for connect rate, meeting rate, and show rate (with a recalibration caveat)
  • Conditional formatting thresholds (red/amber/green) for each core metric
  • Review cadence per tab tied back into the coaching and ramp templates

A field-and-formula spec you can build directly in Google Sheets, Excel, or a BI tool (Looker/Tableau/Power BI) against your dialer and CRM exports. Not tied to one platform.

Tab 1 — Rep Scorecard (one row per rep, daily or weekly)

ColumnDefinition
Rep Name
DialsTotal outbound attempts
ConnectsLive conversations ≥ your minimum threshold (e.g., 20 seconds)
Connect RateConnects ÷ Dials
ConversationsConnects that passed a qualifying question, if tracked separately
Avg Talk Timemm:ss average per connect
Meetings BookedReal, calendar-confirmed meetings
Dials per Meeting BookedDials ÷ Meetings Booked
Meetings Held (Showed)Meetings where the prospect actually attended
Show RateMeetings Held ÷ Meetings Booked
Avg Quality ScoreAverage of most recent 5 scorecard-reviewed calls
Quota Attainment %If applicable

Tab 2 — Team Trends (weekly/monthly time series)

  • Total Dials, Total Connects, Team Connect Rate over time (line chart)
  • Total Meetings Booked vs. Meetings Held over time
  • Team Avg Quality Score over time, overlaid against volume — the point is to show quality isn't trading off against volume
  • New-hire ramp cohort curve vs. tenured average

Tab 3 — Ramp / Cohort View

  • Group reps by start-month cohort
  • Track Day 30 / 60 / 90 gate metrics (from the New SDR Ramp Plan) side by side across cohorts, to see whether ramp is getting faster or slower over time

Tab 4 — Quality Overlay

  • Scatter plot: Dials (x-axis) vs. Avg Quality Score (y-axis), one point per rep
  • Flags "high volume, low quality" and "low volume, high quality" reps — they need different coaching, not the same coaching

Formulas

`` Connect Rate = Connects ÷ Dials Meeting Booked Rate = Meetings Booked ÷ Connects Show Rate = Meetings Held ÷ Meetings Booked Dials per Meeting Held = Dials ÷ Meetings Held Quality-Adjusted Meeting Rate = (Meetings Booked × Avg Quality Score ÷ 100) ÷ Connects ``

The last one is the single number that stops a rep from gaming volume without quality — a rep who books meetings off low-quality calls scores worse on this than one who books fewer meetings off strong calls.

Directional reference ranges

(Directional only — recalibrate to your own list quality and ICP after 4–6 weeks of your own data. Do not treat these as a universal benchmark.)

MetricRough range
Connect RateCommonly 5–15% on cold outbound; below that, investigate list/data quality before blaming reps
Meeting Booked Rate (of connects)Wide range, commonly cited around 10–25% for a well-qualified list — use your own trailing baseline as the real target
Show RateAim to keep above 70%; below that, the issue is usually confirmation/reminder process, not the call itself

Conditional formatting thresholds

MetricRedAmberGreen
Connect Rate<5%5–9%10%+
Show Rate<60%60–75%75%+
Avg Quality Score<6060–7475+

(Recalibrate these bands after establishing your own baseline — they're starting points, not fixed law.)

Review cadence

TabReviewed byFrequency
Rep ScorecardRep (self)Daily
Rep ScorecardManagerWeekly
Team TrendsManagerWeekly
Team TrendsLeadershipMonthly
Ramp/CohortManagerAt each 30/60/90 gate
Quality OverlayManagerMonthly — feeds directly into 1:1 coaching focus

How to use it

Build the 4 tabs against your dialer and CRM data exports, set the conditional-formatting thresholds using your own first 4–6 weeks of data as the baseline, and review the Quality Overlay tab monthly so coaching decisions are never made off volume metrics alone.

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