Performance metrics are the numbers that show how well a library is serving its community — visits, loans, programme attendance, satisfaction. Used well, they turn “we work hard” into “here is the difference we make,” which is what funders and communities need to hear.

You manage what you measure. Without metrics, a library runs on anecdote and good intentions — and when budgets are tight, anecdote loses to evidence every time. The right measures protect the library and, more importantly, improve it.

Count what matters, not just what’s easy

  • Use — visits, loans, database sessions, website hits.
  • Reach — programme attendance, new members, who is (and isn’t) being served.
  • Quality — user satisfaction, not just headcount.
  • Outcomes — the hardest and most valuable: did people actually learn, find work, or get the answer they came for?
Two numbers, one real story
“5,000 visits this month” sounds fine. But pair it with “90% of users found what they needed” and you have something powerful: not just how many came, but whether the library worked for them. The second number is harder to collect — and worth far more.

A caution worth keeping

Numbers can mislead. Chasing loan counts might tempt you to buy crowd-pleasers and neglect the scholarly works a few researchers truly need. Always read metrics in the light of your mission — they are a tool for judgement, never a replacement for it.

Try this
For a library you know, name one thing it does that is genuinely valuable but hard to count. How might you capture even a rough measure of it? Wrestling with that question is exactly the work of good evaluation.

🔗 A friendly free guide: American Library Association

That completes the management cycle: operations, people, money, direction, and evidence — each feeding the next. Have a look at the Course Wrap-up, and well done.

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Modifié le: vendredi 5 juin 2026, 08:05