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13 January 2021/Terje Ennomäe

First call resolution: measure it with repeat-call data

Repeat call analysis for FCR

Measuring first call resolution (FCR) is a given for most contact centres. It drives cost — every unresolved contact becomes another contact — and it shapes customer satisfaction. The hard part is not agreeing that FCR matters. It is gathering data complete enough to measure it honestly.

Most FCR numbers are built on shaky foundations. Some come from post-contact surveys, which only a tiny fraction of customers answer — and repeat callers, the very people you most want to hear from, are the least likely to respond. Others come from small samples of quality monitoring, or from the agent's own note on whether the issue was resolved. None of those sees every contact, and the last one is subjective.

There is a better basis: detect repeat callers directly, across all conversations, and let that reveal your true FCR.

Why FCR is hard to measure

Companies typically measure FCR one of three ways, and each has a gap:

  • Feedback surveys — low response rates mean the data covers a small, self-selecting slice of contacts.
  • Quality-monitoring samples — only a fraction of calls are ever reviewed.
  • Agent notes — based on the agent's perception of whether the issue was resolved, which may differ from the customer's view.

The first two miss most contacts; the third is not objective. Whichever you use, the headline FCR figure leaves a lot of room for doubt — and you cannot improve what you cannot measure accurately.

What repeat callers tell you

The more useful signal is behavioural: did the same customer call back? When you analyse repeat calls, the transcripts usually explain why the first contact did not stick. Broadly, repeat calls fall into two groups.

Something was genuinely unresolved. A common example is customers calling back each month to query the same charges on a bill. That points not at the agent but at the bill itself and at self-service. Product owners can clarify the bill and the online information; agents can be coached to explain charges better. Fix the root cause and the repeat calls stop.

The interaction fell short. When an agent skips empathy, does not show they are listening, or rushes the customer, the customer may call again — especially in tricky technical situations. Take a customer working through internet troubleshooting: if the agent is impatient and does not see the procedure through to a confirmed resolution, a second call is likely. Here the fix is coaching, and reviewing the initial and repeat transcripts together is exactly how quality managers do it.

Measure true FCR with automatic repeat detection

Rather than relying on surveys or subjective notes, the platform flags a repeat call automatically when the same customer calls again within a short period. That gives a complete basis for measuring FCR — and, more importantly, for learning from the contacts that failed it.

From a management view you can see, across every conversation:

  • calls that reached first call resolution — the target;
  • calls that got a same-day callback from the same customer — needs analysis;
  • calls repeated multiple times — investigate immediately.

Because each conversation is also enriched with metrics such as topics and sentiment, analysing why repeats happen is far quicker. We recommend reviewing same-day callbacks and rolling seven-day callbacks, with other time windows available as needed.

Training agents and improving processes on the basis of what repeat callers reveal can make operations more efficient and lift customer experience. The gains come from removing the need for the second call, not from handling it faster.

Frequently asked questions

Why are survey-based FCR figures unreliable?

Only a small fraction of customers answer post-contact surveys, and repeat callers are the least likely to respond. The resulting figure covers a narrow, self-selecting slice of contacts rather than all of them.

How does automatic repeat-call detection work?

When the same customer calls again within a short period, the system flags it as a repeat call automatically — giving a complete, objective basis for measuring first call resolution.

What causes repeat calls?

Two things mainly: an issue that was genuinely left unresolved (often pointing to unclear bills or self-service), and interactions where the agent rushed or did not fully work through the problem. Analysing transcripts shows which applies.

How do you actually improve FCR?

By eliminating the need for the repeat call — fixing the underlying process or information — and by coaching agents using the initial and repeat transcripts together.

Where to go next

Want to know your true first call resolution rate and where repeats come from? We will show you on your own conversations. Book a demo.