Task completion rate
In one sentence
Task completion rate is the share of interactions where the customer accomplished the specific thing they set out to do, an outcome metric that suits generative voice agents because it needs no intent taxonomy, only a definition of what completion means for each task.
Not to be confused with Resolution rate, or Conversation completion rate.
Definition
Task completion rate is the share of interactions where the customer accomplished the specific thing they came for. It is the outcome metric that suits generative voice agents.
It is more precise than resolution and more measurable than satisfaction, which is what makes it the most useful single number for evaluating a modern voice agent.
Why it fits generative systems
- It needs no intent taxonomy, only a definition of what completion means for a given task.
- It measures the outcome the customer cared about, not the mechanism that got there.
- It works equally for informational tasks, where completion means getting the answer, and transactional ones, where completion means the booking exists.
How it is measured
- For transactional tasks, observably. The booking was made, the lead was captured, the order was placed. This is the strongest form.
- For informational tasks, by proxy. The visitor stopped asking about that topic, or proceeded to another action.
- By transcript review, human or model-assisted, assessing whether the stated need was met.
Defining tasks well
- Tasks should be defined from the customer perspective, not the system. "Booked an appointment", not "completed the booking flow".
- Compound requests need decomposition, since a customer can complete one task and fail another in the same conversation.
- Task-level reporting is far more actionable than conversation-level reporting, because it tells you which half failed.
Why it is the right metric for a demo or pilot
- Take a set of real historical customer queries.
- Define what completion means for each.
- Measure both candidate systems on the same set.
- This is a better vendor comparison than any published benchmark, and it takes a day.
The relationship with the other metrics
- Containment asks whether a human got involved.
- Resolution asks whether the problem was solved.
- Task completion asks whether the specific thing got done.
- The third is the most precisely defined, and therefore the most actionable.
Common misconception
That task completion and resolution are the same. Resolution is issue-level and often fuzzy; task completion is specific and observable. That is what makes task completion the better operational target, and treating the two as interchangeable throws away the precision.
Why it matters commercially
Task completion measured on the buyer own queries is the most predictive evaluation available, and it is the metric that should appear in pilots. It costs a day of work and beats any published benchmark, because it measures the thing the business actually needs rather than transcription on clean benchmark audio.
In voice specifically
Speech puts an error floor beneath completion that text does not have. Entity error rate matters more here than overall word error rate, because a slip on a name, a number or a product term breaks the task while a slip on a filler word does not.
Where AsqVox fits
For a website voice agent the tasks include getting an answer, finding the right page section through voice navigation, and lead capture. Each is observably complete or not, which is what makes task completion the natural measure for the Orb.
Visual
One conversation, two tasks, the number that matters
Conversation level calls this partially successful. Task level says 50 percent, and tells you which half.
Statistics
Every figure carries its source and year. Vendor numbers are labelled as vendor numbers, and where no reliable figure exists this page says so rather than borrowing one.
There is no cross-industry task completion benchmark, and there cannot usefully be one, because tasks are organization-specific. It is a metric for internal measurement and for vendor comparison on your own data, not for benchmarking.
-no reliable figureIf a vendor quotes a task completion benchmark, it was defined on their tasks, not yours. Replace it with completion measured on a set of your own historical queries.
Containment context: mature deployments run roughly 70 to 80 percent, average deployments 40 to 55 percent, and rule-based systems under 35 percent.
70 to 80% mature, 40 to 55% average, under 35% rule-basedindustry rangeIndustry-reported ranges, 2026 - Industry-reported rather than audited. These are containment figures, quoted for orientation. Containment asks whether a human got involved, which is a different and looser question than whether the specific task got done.
Speech recognition word error rates of roughly 8 to 12 percent on real-world English place a ceiling on task completion, since a misrecognized request cannot be completed correctly. Entity error rate matters more than overall word error rate, because errors on names, numbers and product terms break tasks while errors on filler words do not.
8 to 12%industry rangeReal-world English ASR, industry-reported range, 2026 - Directional, not audited. The load-bearing point is not the overall rate but where the errors land: an agent at a higher word error rate that gets every product name right can complete more tasks than a lower-rate one that does not.
There is no published methodology standard for defining and measuring task completion in conversational systems.
-no reliable figureThis is why defining completion per task, from the customer perspective, before the evaluation runs, matters more than any single reported number. Two teams measuring task completion without a shared definition are not measuring the same thing.
Examples
In practice
Two vendors are evaluated on published accuracy figures and the better-scoring one is selected. Post-deployment task completion on the buyer own historical queries turns out worse than the rejected vendor achieved in a later test. The published figures measured transcription on clean benchmark audio; task completion measured the thing the business needed. The evaluation method, not the vendor selection, was the error.
The everyday version
Task completion rate is whether the customer actually got the thing done: the answer found, the appointment booked, the details left. It is the most useful number because it is specific. If you are choosing between two systems, take fifty real questions your customers have asked and see which one completes more of them.
Usage
Who says it
- Product teams and conversation designers, who use it to evaluate and improve agents.
- Increasingly the preferred evaluation metric for generative voice agents, displacing intent-based accuracy numbers.
Where it turns up
- Next to pilot methodology, acceptance criteria and evaluation datasets in an RFP.
- The strongest RFPs specify evaluation on buyer-supplied queries with buyer-defined completion criteria, which is the most predictive test available.
Common misuse
- Defining tasks from the system perspective rather than the customer, which measures whether a flow ran rather than whether a need was met.
- Reporting at conversation level rather than task level, which loses the diagnostic value of knowing which task failed.
- Treating it as interchangeable with resolution rate, when resolution is issue-level and fuzzy and task completion is specific and observable.
Questions people ask
What is task completion rate?
It is the share of interactions where the customer accomplished the specific thing they set out to do: the answer found, the booking made, the lead captured. It needs no intent taxonomy, only a clear definition of what completion means for each task, which is why it suits generative voice agents.
What is the difference between task completion rate and resolution rate?
Resolution is issue-level and often fuzzy: was the problem solved. Task completion is specific and observable: did the particular thing get done. Task completion is the tighter, more actionable target, and the source warns against treating the two as interchangeable.
Is there a benchmark task completion rate?
No, and there cannot usefully be one, because tasks are organization-specific. It is a metric for internal measurement and for vendor comparison on your own data. There is also no published methodology standard for defining and measuring it, so a shared definition has to be agreed before any evaluation runs.
How do you measure task completion?
Three ways. Observably for transactional tasks, where the booking exists or it does not, which is the strongest form. By proxy for informational tasks, where the visitor stopped asking or proceeded to another action. And by transcript review, human or model-assisted, assessing whether the stated need was met.
Last reviewed 4 August 2026. Written and reviewed by Dhruv Dholakia, founder of AsqVox.