Ops Quick Wins & KPI Dashboard

Reduce cost-to-serve and improve on-time delivery with a lightweight KPI dashboard and a 30/60/90-day quick-wins plan.

Who this is for

COOs, Ops leaders and team managers who need measurable improvements in cost-to-serve and delivery performance without a heavy transformation program.

1) Quick wins: top 10 levers

  1. Intake triage: clarify SLAs & ownership; kill “misc” queues.
  2. Batching & WIP limits: smaller lots, fewer items in progress.
  3. Standard work: turn tribal knowledge into 1-page SOPs.
  4. Template replies/tasks: macros for the top 20% requests.
  5. Defect logging: visible rework reasons; fix top 3.
  6. Handover rules: RACI + checklist before passing work.
  7. Calendar blocking: “focus blocks” for deep work windows.
  8. Skills matrix: cross-train to remove single-threaded owners.
  9. Demand shaping: tighten eligibility / form fields / guardrails.
  10. Obvious automation: 3–5 no-code/Zapier jobs (alerts, status, sync).

2) 30/60/90-day plan

  • 0–30 days: baseline KPIs, map flow, implement intake triage, launch SOPs v1.
  • 31–60 days: WIP limits, defect logging, automation pilots, skills matrix.
  • 61–90 days: scale what works, renegotiate SLAs, publish dashboard to execs.

3) KPI model

Keep it lightweight and comparable week over week:

  • On-time delivery (OTD) = % tasks/orders delivered on or before promise date.
  • Cycle time = avg. start→finish per type (exclude waiting for customer).
  • SLA attainment by queue/type.
  • First-time-right / Defect rate = % items without rework.
  • Backlog health = items > SLA + aging distribution.
  • Cost-to-serve = FTE hours × loaded rate per item / order.

4) Dashboard layout (one-pager)

  • Top bar: OTD, Cycle time, Defect rate, Cost-to-serve (vs target).
  • Trends: 8-week spark lines for each KPI.
  • Bottlenecks: queues with worst SLA & aging.
  • Wins this week: 3 bullets (automation saved Xh; defect Y removed).
  • Risks / help needed: escalations, cross-team dependencies.

Download: KPI dashboard (Google Sheets)

5) Instrumentation

  • Start with operational export (CSV/Sheet) daily; automate later.
  • Create a data dictionary (how we timestamp, what counts as done).
  • Tag defect causes in the ticketing tool; keep taxonomy under 12 items.
  • Use unique IDs for items to avoid double counting across systems.

6) Review cadence

  • Weekly 30 min: KPI review, wins, top 3 blockers, next experiments.
  • Monthly 60 min: trends vs targets, SLA re-sets, resourcing decisions.
  • Quarterly: re-baseline cost-to-serve; publish 3 biggest improvements.

7) Common risks

  • Too many KPIs → pick six that move the business.
  • Counting “busy work” → measure outcomes, not activity.
  • Data hygiene ignored → implement a weekly data check.
  • One-off wins → keep an experiments backlog with owners.

Templates

One-page KPI dashboardSOP templateDefect log (Sheets)30/60/90 planOps experiments backlog


Want us to stand up your dashboard and quick-wins board in two weeks?

Book a 30-min ops review

Free 30-min review • KPI dashboard in 2 weeks Schedule your call