Conversation quality · Customer insight · Research analysis

Turn recorded conversations into answers your teams can use.

Find process gaps, customer signals and research findings, with evidence you can review.

Find process gaps, customer signals and research findings, with evidence you can review.

Your recordingsCalls, visits, interviews and responses
Your contextProcess, study rules and buyer questions
A useful resultChecks, themes and evidence for review
Start with the question

Different teams. Different things to learn.

A call scorecard, a customer-theme report and a research grid solve different problems. Find the workflow closest to yours.

01 / Process and conversation quality

Call auditing against your SOP

Your agents serve different call types, products and customer situations. A disclosure may be mandatory in one conversation and irrelevant in another. You need an audit that follows those distinctions and gives supervisors a clear reason to inspect a call.

Explore this use case: Call auditing against your SOP
02 / Sales and customer understanding

Sales objection analysis and handling review

A lost sale tells you little about whether the customer questioned affordability, needed another decision-maker or wanted clearer product information. Sales leaders need the concern and the response together to decide what the team should practise.

Explore this use case: Sales objection analysis and handling review
03 / Sales and customer understanding

Voice of customer analysis from conversations

Support calls, onboarding discussions and customer follow-ups contain requests that never reach a survey. Your CX or product team needs to see which concerns recur, what customers actually mean and where a closer investigation would be useful.

Explore this use case: Voice of customer analysis from conversations
04 / Process and conversation quality

Relationship-level conversation auditing

One agent requests a document, another promises a follow-up and a third gives a different instruction. Each call can look reasonable on its own while the customer remains stuck. Journey owners need the sequence to judge whether required steps actually moved forward.

Explore this use case: Relationship-level conversation auditing
05 / Research operations

Research fieldwork quality control

Your fieldwork batch is ready for processing, but checking a few interviews leaves questions unanswered. Did the respondent meet the study criteria? Does the entered answer match what they said? Was a required probe used? Bring those questions into one study-specific review, with the record and question identifiers your team already uses.

Explore this use case: Research fieldwork quality control
06 / Qualitative research

Qualitative research analysis

Your interviews are complete, but the insight is scattered across long conversations. You need to compare experiences, understand why respondents differ and build an argument for the study objectives. Start with the guide and the analysis grid you want to work in, then connect each finding back to the relevant source.

Explore this use case: Qualitative research analysis
From recordings to a useful result

Bring the evidence and the question.

01

Define what matters

Agree the checks, categories or research questions, the context they need, and the decisions the result will support.

02

Review a representative sample

Include the languages, recording conditions and exceptions that occur in your workflow. Establish what a useful result should look like.

03

Agree the analysis and delivery

Scope the outputs, review process and any integrations around your requirements. Keep uncertain or incomplete evidence visible.

Beyond a transcript.

A transcript gives you words. Your team needs to know whether a step was completed, what concern was raised, how a relationship progressed, or how interviews answer a study objective.

AutoQC offers analysis around those questions. The required context, result format and review criteria are agreed for each workflow.

What do you need to understand or check?

Describe the workflow, the data you have and the result you need. We can discuss the right evaluation scope.

Discuss your workflow