People Ops
KPI Examples
What is KPI Examples?
A KPI is a quantified measure of an outcome a team is accountable for, with a target and a review cadence — good examples are few in number, owned by one team, and tied directly to a business result rather than to activity volume.
What separates a KPI from a metric
Every number a business collects is a metric. A KPI is the small subset that a team is actually held to — the ones that change decisions. A workable KPI has a clear definition both sides agree on, a single owner, a target with a date, and a review cadence. If nobody can say what happens when the number misses, it is reporting, not a KPI.
Three failure modes recur. Measuring activity instead of outcomes — calls made rather than pipeline created — rewards motion. Setting too many KPIs means none of them are priorities; three to five per team is the practical ceiling. And measuring what is easy to count rather than what matters produces teams optimising a proxy while the actual result drifts.
Setting targets for a distributed team
Distributed and offshore teams need a deliberate baseline. Run four to six weeks of measurement before setting a target, so the number reflects real conditions — timezone overlap, handover quality, tooling access — rather than headquarters' historical average. Normalise for capacity when comparing teams, and separate ramp-period targets from steady-state targets: a new hire on a 90-day ramp should be measured against ramp milestones, not full quota.
Where a KPI is used in a performance conversation, it has to be fair and achievable, and the evidence has to be contemporaneous. That is true everywhere, and it is a legal requirement in most countries outside the United States, where a performance exit depends on a documented, genuine process.
KPI examples by department
Sales
- Qualified pipeline created
- Value of new opportunities reaching a defined qualification stage in the period. The earliest honest indicator of whether the quarter after next will land.
- Win rate
- Closed-won divided by total closed opportunities. Falling win rate with rising pipeline usually means qualification has loosened, not that the market changed.
- Average sales cycle length
- Median days from qualified opportunity to closed-won. Use the median, not the mean — one twelve-month enterprise deal distorts an average badly.
- Quota attainment
- Percentage of reps at or above quota, not just team total. A team hitting 100% on two of nine reps has a coverage problem hiding behind a green number.
- Net revenue retention
- Revenue from existing customers including expansion, minus churn and contraction. Above 100% means the base grows without new logos.
Engineering
- Deployment frequency
- How often code reaches production. A DORA metric, and the clearest signal of whether delivery is genuinely continuous.
- Lead time for changes
- Median time from commit to running in production. Measures the pipeline, not individual speed.
- Change failure rate
- Share of deployments causing a rollback, hotfix or incident. Pairs with deployment frequency so speed is not bought with instability.
- Mean time to restore (MTTR)
- Median time from incident detection to service restored. A far better resilience measure than incident count.
- Escaped defect rate
- Bugs found in production per release, relative to those caught before it. Rising numbers point at test coverage, not at developers.
Customer Success
- Gross revenue retention
- Renewal revenue excluding expansion. Strips out upsell and shows whether customers actually stay.
- Net promoter score (NPS)
- Promoters minus detractors from the standard 0–10 question. Useful as a trend at consistent survey timing, near-meaningless as a one-off.
- Time to first value
- Days from contract signature to the customer completing the first outcome they bought the product for. The strongest early churn predictor.
- Product adoption rate
- Share of licensed seats actively using core features. Low adoption at renewal is a renewal risk regardless of sentiment.
- First response and resolution time
- Median time to first human reply and to case closure, measured against the SLA tier rather than as a single blended number.
Recruiting & People
- Time to fill
- Days from role approval to accepted offer. TalentStores marketplace roles typically deliver vetted profiles within 48–72 hours.
- Offer acceptance rate
- Offers accepted divided by offers made. Sustained rates below 80% usually mean compensation benchmarks or the closing process, not sourcing.
- Quality of hire at 90 days
- Share of hires rated at or above expectation by their manager at 90 days, combined with 90-day retention.
- Cost per hire
- Total sourcing, agency, tooling and internal recruiter cost divided by hires. The number that makes flat-rate marketplace pricing comparable to agency percentages.
Why it matters when hiring globally
- Hiring KPIs are where global hiring economics become visible: time to fill and cost per hire look very different when profiles arrive in 48–72 hours at a flat hourly rate instead of a percentage-of-salary agency fee.
- For offshore and remote teams placed through TalentStores, baseline the delivery KPIs over the first four to six weeks rather than importing headquarters' targets on day one.
- Where a KPI feeds a performance conversation for an employee engaged through an Employer of Record, the local process rules apply — documented, achievable targets and a genuine improvement window.
Frequently asked questions
How many KPIs should a team have?
Three to five. Beyond that, nothing is a priority and reporting overhead starts to consume the time the KPIs were meant to protect. Supporting metrics can be tracked without being KPIs.
What makes a bad KPI?
Measuring activity rather than outcomes, having no single owner, having no target or review date, or being easy to hit by gaming the definition. If missing it triggers no decision, it is reporting rather than a KPI.