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CX Manager

Manage the customer listening program operations

Enhances✓ Available Now

What You Do Today

Run the survey program — survey design, distribution, response rate management, and data quality. Ensure you're collecting actionable feedback at the right touchpoints.

AI That Applies

Survey optimization — AI adjusts survey length, timing, and questions based on respondent behavior to maximize response rates and insight quality.

Technologies

How It Works

The system ingests respondent behavior to maximize response rates and insight quality as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.

What Changes

Response rates improve 20-30% because surveys are shorter, better timed, and more relevant. The AI skips questions the respondent's behavior already answered.

What Stays

Designing the right questions, interpreting the feedback, and ensuring the listening program covers all customer segments.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for manage the customer listening program operations, understand your current state.

Map your current process: Document how manage the customer listening program operations works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Designing the right questions, interpreting the feedback, and ensuring the listening program covers all customer segments. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Qualtrics tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long manage the customer listening program operations takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Operations or COO

What are the top 5 reasons customers contact us, and which of those could be resolved without a human?

They're prioritizing which operational processes to automate

your process improvement or lean lead

How do we currently measure service quality, and would AI-assisted responses change that measurement?

They understand the workflow dependencies that AI tools need to respect

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.