Voice feedback surveys: preserve the scale and route unresolved complaints

Originally published as a Fonix.AI practical guide by AntEngage. This republication uses the same guide content.

Collect a faithful response and act on it

Automated customer feedback calls ask a defined service cohort a consistent question, preserve the response and route issues that need follow-up. The goal is useful evidence about the experience, not simply a large number of ratings.

Fonix.AI supports business voice conversations in Indian languages. Evaluate the survey with your service-event source, question set and support process. Confirm the required cohort, record-writing and escalation connections for the deployment.

This page concerns post-service feedback. The customer-support guide covers resolving the original issue. If a survey reveals that the issue is still open, give it a support destination rather than treating the low rating as the final outcome.

Define the cohort and question before calling

Choose the event that makes a customer eligible: a delivered order, completed service visit or closed case. Preserve the event reference and time, then apply your contact preferences and duplication rules.

Do not survey a “completed” service without checking that the relevant source still agrees. A reopened ticket or cancelled visit may need a different conversation. Define how long after the event the survey runs and keep that interval stable during comparison.

Select the exact question, scale and wording before the pilot. Ask one thing at a time. “How satisfied were you with delivery and product quality?” combines two experiences and makes a single rating difficult to interpret.

Record the survey version and language. If the wording changes, the resulting ratings may not be directly comparable with the earlier version. Translations should preserve the concept and scale anchors rather than introduce praise or criticism.

Preserve the scale without suggesting an answer

Read the scale clearly and accept the customer's answer. Do not steer the caller towards a positive rating, reinterpret criticism as satisfaction or insist on a number when they decline.

If the customer gives a qualitative response, ask whether they want to choose a scale value. Preserve their words if they prefer not to. A complete comment with no rating can be useful without being counted as a completed numeric response.

Use readback when a critical value is uncertain. The multilingual guide describes task-level testing across language switches, numbers and corrections.

Figure 01. Declined: no rating. Unknown: clarify. A comment is not a scale value.

Separate feedback from complaint resolution

A survey may surface a missing parcel, unresolved service fault or request for a person. Capture the issue and send it to the appropriate support queue with the original event reference.

Keep the rating, comment, complaint and follow-up result as different fields. A complaint being assigned does not change the survey rating, and a high rating does not remove the need to resolve a specific problem.

Tell the customer the accurate next step. “I have requested a callback” is appropriate when only a task was created. “The issue is resolved” requires evidence of an actual resolution.

Define whether the survey should stop when an urgent unresolved issue appears. Continuing several satisfaction questions while the customer is asking for help can damage the experience you are trying to measure.

An illustrative rating correction

This fictional survey follows a completed service visit. Assume the approved question uses a one-to-five scale, with five as most satisfied.

Assistant: On a scale from one to five, where five means most satisfied, how satisfied were you with the service visit?

Customer: Four. Actually two, kyunki problem abhi bhi hai.

Assistant: I have recorded two as your corrected rating. You also said the problem remains. Would you like the service team to contact you about it?

Customer: Yes, tomorrow morning.

The record contains a final rating of two, the raw correction, an unresolved problem and a requested callback time. It should not count four as the answer or claim that a support booking is confirmed without a receiving task.

Suggested fields include service-event reference, survey version, language, raw response, confirmed rating, comment, completion status, complaint reference and receiving owner. These are workflow suggestions rather than a published Fonix API.

Review refusals, repetition and record quality

Review a sample of recordings against stored answers. Check whether the assistant changed the scale, added a leading phrase or lost a correction. Record quality matters before interpreting an average rating.

Report the denominator and response limits

Show eligible customers, attempted contacts, reached customers, survey respondents and completed numeric answers separately. A rating average among respondents does not represent every eligible customer.

For a satisfaction percentage, define which valid ratings count as satisfied and divide by the valid answers to that question. Do not include refusals as negative answers or drop inconvenient low ratings. Keep incomplete and unknown responses visible alongside the metric.

Compare cohorts with similar service types, time since service, question versions and language mix. Changes in response rates can change the average even without a change in service quality. Track complaint acceptance and resolution time as separate operational outcomes.

Figure 02. Report the denominator, refusals, unknowns and question version.

Test one service cohort first

Bring a sample completed event, the exact question and scale, language variants and complaint-routing rules. Ask to see a refusal, a corrected score and a request for help during the survey.

Request a feedback-call evaluation to review the conversation and written record. Use the voice pricing guide to include survey and follow-up costs in your pilot.