Inbound Voice AI Pilot Scorecard for High-Volume Contact Centers

TL;DR

• Use this scorecard if you operate an already-selected or piloting inbound voice agent and need a queue-level go/no-go decision before expanding to high-volume traffic.
• Test after-hours coverage and peak bursts on your own phone and CRM setup. Review failed workflow gates separately from aggregate queue results.
• Record each scenario, measured result, buyer-set threshold, and decision. Set thresholds before reviewing pilot results.
• If you are still choosing a provider, use the inbound vendor comparison. The multi-step evaluation guide scores individual calls during selection, while the procurement scorecard supports purchasing decisions.

Why queue expansion needs its own go/no-go gate

A queue expansion decision needs evidence from after-hours and peak-traffic calls, not just successful individual call reviews. After hours, no receiving agent may be available for a transfer. During a burst, response times may rise or transfer paths may fail. Measure these outcomes under the queue’s operating conditions before approving more volume.

The inbound vendor comparison addresses platform selection. For a queue expansion decision, use results from your selected agent on your own call paths.

The multi-step evaluation guide scores individual calls, including changed intent and escalation behavior. For expansion, you still need to know whether those workflows hold up across after-hours calls and peak traffic.

The procurement scorecard applies weighted criteria and test gates when you compare vendors. An operations gate comes later. It separates failures that block a specific workflow from aggregate queue results, then compares both with thresholds you set before approving more volume.

What the scorecard measures and how to calculate it

Define eligible calls before testing, and use comparable call types and operating periods for the pilot and baseline. Record the actual dates and conditions of each window. Report each measure by queue and scenario as well as across the full pilot. A good aggregate result can conceal a failed after-hours or transfer workflow. You set every pass/fail threshold before testing. Neither a vendor claim nor this scorecard supplies one.

• Response latency. Time each AI turn from the end of the caller’s speech to the start of the audible reply. Calculate the median (p50) and 95th percentile (p95) across timed AI turns, excluding human-agent turns. Count missing replies separately. The median describes the typical pause, while p95 shows how slow the longest 5% of measured pauses are. Break out peak traffic because load may change the distribution.

• Verified containment and incorrect containment. Use all eligible AI-answered calls as the denominator for both rates. Count a call as verified containment only when the caller’s request was resolved without a human, based on a defined evidence check such as a confirmed transaction or review within a preset recontact window. Count a call as incorrect containment when the AI ended it as resolved without a human but the check found an unresolved or wrong outcome. Keep calls without enough evidence in a separate unverified count, and report that count alongside both rates. Do not treat unverified calls as resolved. A caller who never pressed zero did not necessarily get an answer.

• Dropped-call rate. Divide unintended disconnections before resolution or completed transfer by all calls attempted through the AI route, including attempts that disconnected before the AI answered. Review termination records to separate system drops from caller-initiated hangups and planned transfers, and report those categories alongside the rate.

• Escalation accuracy. Give each eligible test call an expected decision before it runs: transfer, continue with the AI, or follow a specified fallback when a transfer is unavailable. Divide calls with the correct observed decision by all calls with a recorded expected decision. Report missed required transfers and unnecessary transfers separately, since the combined rate can hide either error.

• Receiving-agent handoff quality. Divide completed transfers that meet your predefined handoff checklist by all completed transfers reviewed by a receiving agent. The receiving agent should check whether the caller’s request, verification status, and relevant prior steps arrived accurately in the tools they actually use. Record warm and cold transfers separately, and count transfers that never reached an agent under the transfer workflow gate rather than treating them as successful handoffs.

The reproducible test scenarios

Run each scenario through the pilot queue on your own phone system, using the same agent configuration you plan to expand. Before calling, set a fixed call count for each scenario and write scripted variants that cover the outcomes you expect. Record the correct outcome for every variant in advance, including whether the agent should resolve the request, verify the caller, or escalate. Keep the scripts, call times, and configuration version with the recordings and call logs so you can repeat a failed test.

• After-hours coverage. Call when the queue has no scheduled receiving agents. Test a request the agent can complete and one that requires a person. Record whether the agent follows the approved after-hours route instead of promising an unavailable transfer.

• Peak-volume bursts. Place a planned burst at the concurrent-call volume proposed for expansion, and record the target and actual concurrency. Mix routine requests with escalations, then compare connection failures, dropped calls, response latency, and transfer outcomes against the queue’s normal-traffic run.

• Multi-step requests and changed intent. Script a caller who completes several steps, then changes the request or corrects an earlier answer. Check whether the agent uses the updated intent and preserves relevant details when the call needs a person.

• Caller verification. Include callers who pass verification, fail it, and refuse to provide the required information. Record the action permitted for each case before testing. Check that the agent does not disclose protected information or complete a restricted action when verification fails or the caller refuses verification.

• Warm and cold transfers. Test both transfer paths with a receiving agent present. For a warm transfer, ask that agent to record what context they actually received before speaking to the caller. For a cold transfer, check the route and record whether the caller must repeat information. Inspect the receiving agent’s desktop rather than assuming a screen-pop or briefing appeared.

• Unavailable receiving agents. Repeat escalation calls while the destination is busy, unanswered, or closed. Check the approved fallback, including what the caller hears and whether the call remains traceable.

• CRM and telephony failures. Use an approved test environment or a prearranged fault window to simulate a CRM timeout, stale record, failed write, and failed transfer route. Check that the agent avoids relying on untrusted data, tells the caller when it cannot complete an action, and follows the approved fallback. If you cannot create a fault safely, mark that variant untested rather than treating an ordinary call as evidence.

For every call, compare the recording, logs, and receiving-agent account with the outcome recorded before the run. Preserve failed calls in the count. A repeat test should use the same scripts and call count, with any configuration change recorded separately.

The copyable pilot scorecard

Use one row per workflow gate, then make a separate decision for the queue you plan to expand. Set the thresholds and required call counts before running the pilot. A strong queue-wide result cannot cancel a failed caller-verification or transfer gate. Keep attempted calls, failed connections, and incomplete transfers visible even when a scenario has fewer completed calls than planned.

Per-workflow gates

Copy this table and add rows for each queue and scenario variant you will test.

The scenario names the scripted condition, while queue identifies the callers affected by the proposed expansion. Record the comparable pre-pilot result in baseline, and enter attempted and completed test calls in call count. Link call records, monitoring logs, and receiving-agent notes in evidence. The named owner reviews those records and signs off on the row.

Enter the required outcome and minimum sample in buyer-set pass/fail threshold before testing. Put the measured outcome, including failures, in observed result. Mark decision as pass, fail, or insufficient evidence. Keep an untested scenario open rather than treating it as a pass.

Aggregate queue-level result

Complete this second tier for the proposed expansion scope. Record each measure’s eligible population and denominator with its evidence, since latency uses AI turns, handoff quality uses reviewed transfers, and the call-level rates use different eligible calls. Record after-hours and peak results separately if their conditions differ.

Final queue decision ___
Excluded scenarios or call segments ___
Required correction and retest owner ___
Sign-off and date ___

Approve a go only when every required workflow gate passes and every aggregate outcome meets its buyer-set threshold. Record a no-go when a required gate fails or an aggregate threshold is missed. Mark the decision insufficient evidence when a required result cannot yet be assessed. Use go for a restricted scope only when a tested routing control excludes an unresolved scenario, every gate required for that narrower scope passes, and its aggregate outcomes meet their thresholds. Retest that scenario before adding it to the queue expansion.

What counts as evidence, and who owns each row

Record the evidence type for each scorecard row, but base its decision on observed calls through your own stack. Documented means a vendor describes a capability. Demonstrated means you observed it during a live call. Buyer-stack verified means you observed the outcome through your own phone system, CRM, or receiving-agent desktop. Keep the call recording, logs, and reviewer notes with the row so the owner can trace the observed result back to specific calls.

No row passes on documentation alone. Record the number of attempted calls, including failed connections and unanswered transfers, then compare the observed result with the buyer-set threshold. Assign an owner who reviews the evidence and signs the pass, fail, or pending decision. An operations lead might own after-hours coverage, while the queue owner signs off on whether agents received enough context to continue a transferred call.

Treat screen-pops, whisper briefings, and CRM write-backs as buyer-stack-verified behavior. Vendor documentation may describe a transfer option, and a demonstration may show it working elsewhere. Only calls through your own routing and agent desktop can show whether the receiving agent saw or heard the right information. Keep a row pending when that observation is missing, even if the aggregate queue result meets its threshold.

SigmaMind AI's documented inbound workflows and monitoring

SigmaMind AI’s documentation index lists a guide to building conversational flow agents and pages for tool integrations. Treat any described node-level function calling or traceability as vendor-described capability until you can identify the supporting documentation and observe the behavior during a pilot call.

The SigmaMind AI documentation index lists Call Logs, Call Analytics, and Termination Reasons under monitoring. Confirm which fields and retention periods are available before relying on those records for the scorecard. Treat descriptions of warm and cold transfers with conversation context as vendor claims until supporting documentation establishes the transfer options and pilot calls show what the receiving agent actually receives.

CRM and telephony fit, along with agent-desktop handoff quality on your own stack, require live verification using this scorecard. Vendor descriptions and documentation alone cannot pass those workflow gates.

Running the pilot: cadence and sign-off

Collect a comparable normal-traffic baseline, then run the planned after-hours and peak-traffic scenarios in their respective operating windows. Set each scenario’s call-count target, pass threshold, and expected outcome before testing. Then run after-hours coverage and peak-volume bursts in separate windows from the steady-state baseline. Keep the scenario scripts and queue configuration recorded so you can compare results across days.

Review workflow gates as calls come in, but wait to judge the aggregate queue result until every scenario reaches its planned call count. An aggregate pass cannot cancel a failed caller-verification or transfer gate. If a gate fails, record the affected calls, identify the cause, and retest that workflow after any change. Use the same scripts and expected outcomes, and record the new configuration separately rather than replacing the failed results.

The operations lead and queue owner should sign the final queue-level decision together. They can approve the tested expansion scope when its required gates and aggregate thresholds pass. Otherwise, they should keep the pilot limited while a failed gate is retested or required evidence is collected.

Related resources

• If you are still choosing a platform, use the inbound vendor comparison to compare options.
• If you need to score individual calls during selection, use the multi-step inbound evaluation guide.
• If you are comparing vendor proposals, use the procurement scorecard for a weighted RFP assessment.

FAQs

How many calls are enough per scenario? Set the call count before testing, based on the queue’s volume, the risk of a wrong outcome, and how much results vary. Include enough calls to cover each scripted variant, then record the count beside the observed result. This article sets no universal minimum.

What if a workflow gate fails but the aggregate result looks good? Do not expand the affected workflow. A good aggregate result can hide failed verification or transfers. Fix the workflow and rerun its scenario before changing the decision. A narrower expansion is possible only if a tested routing control excludes the failed workflow and the remaining scope passes its gates and thresholds.

What if you cannot test after-hours coverage yet? Leave the after-hours row open and do not approve expansion into that period. A rehearsal can check routing, but an actual after-hours run must confirm what happens when the intended receiving staff are unavailable.

Should thresholds differ by queue? Yes, when the queues carry different risks or serve callers under different conditions. Set and record each queue’s pass/fail thresholds before the pilot. You fill every threshold column, rather than adopting a universal number from this article.