AI Customer Research for Energy and Utilities: Understand Ratepayers and Reduce Churn at Scale

Energy retailers, utilities, and clean-energy providers can run customer research at scale with AI interviews - capturing why a ratepayer switched suppliers, how a new time-of-use tariff or efficiency program actually lands, or where billing and outage communication breaks trust, without standing up a call campaign or waiting on a slow research vendor. A platform like Koji conducts voice or text conversations with your customers, probes each answer with adaptive follow-up questions, and turns thousands of conversations into an analyzed report in days. In a sector being reshaped by deregulation, electrification, and rising customer expectations, understanding the ratepayer in their own words is now a competitive advantage rather than a nice-to-have.

Why energy and utilities have a customer-understanding gap

Utilities have historically treated customers as ratepayers on a meter, not as people with choices. Deregulated markets and the rise of solar, EV charging, and competitive retail have changed that overnight - customers now switch, opt into programs, and judge you on experience. Yet the listening infrastructure has not caught up.

Smart meters and billing systems show consumption and payment behavior, but never the reasoning behind a switch, a complaint, or a refusal to enroll in a demand-response program. Annual regulator-driven satisfaction surveys (J.D. Power-style) produce a benchmark score with no actionable story. And call-center logs capture only the customers angry enough to phone in. The quiet majority - the ones deciding whether to stay, enroll, or recommend you - go unheard.

High-value energy and utilities research use cases

AI interviews replace those slow, partial methods. The highest-ROI studies for energy and utility teams include:

• Switching and churn research (retail energy). Interview customers who recently switched away or signed up. Probe the trigger - a price increase, a better fixed-rate offer, a bad billing experience - and what would have kept them. Koji's adaptive probing turns "it was cheaper elsewhere" into "my estimated bills kept overshooting and I lost trust in the meter readings."
• Tariff and rate-plan testing. Before rolling out a time-of-use, dynamic, or green tariff, test comprehension and reaction with scale and ranking questions plus open-ended probing on the why.
• Program enrollment research. Understand why customers do or do not enroll in energy-efficiency, demand-response, solar, or EV-charging programs - and what messaging would move them.
• Billing and payment experience. Surface where bills confuse customers, where estimated reads erode trust, and where payment-assistance programs fall short.
• Outage and service communication. Interview customers after an outage or service visit to understand whether your communication built or broke trust.
• Brand and trust perception. Track how customers perceive your reliability, sustainability commitments, and value over time.

Why AI interviews beat surveys and call centers for utilities

A utility customer base is large, diverse, and rarely engaged with their provider - the perfect case for AI-moderated interviews:

• Reach the quiet majority. Share an interview link by email, SMS, or in your customer app, or embed it after a billing or outage interaction. You hear from customers who would never call in or finish a long survey.
• Scale without staffing. Koji conducts every interview in parallel, 24/7, in the customer's language, from a single link. There is no call-back queue and no per-agent cost, so you can interview thousands of ratepayers quickly.
• Depth a satisfaction score cannot reach. A benchmark survey gives you a number; Koji captures the number with a scale question and then probes the reasoning with adaptive follow-ups, so a low trust score becomes a specific, fixable issue.
• Voice or text, in their language. Older or less digital customers can speak their answer; others prefer quick text. Koji runs both and translates the analysis.
• Consistent and unbiased. Every customer gets the same well-designed interview, so a recurring billing-confusion theme surfaces clearly in the report rather than as scattered complaints.
• Automatic analysis. Instead of manually coding thousands of open responses, you get a report with themes, representative quotes, sentiment, and quantitative breakdowns - segmented by region, tariff, or program.

Designing an energy study with structured questions

Koji supports six structured question types - open_ended, scale, single_choice, multiple_choice, ranking, and yes_no. A tariff-test study might combine a yes_no question on whether the plan is understandable, a scale question for likelihood to switch to it, a ranking question to order what matters most (price stability, sustainability, simplicity, control), and open_ended questions with deep probing for the reasoning. Because every question carries a stable ID, the quantitative answers aggregate into trackable charts while the qualitative themes are coded automatically across every interview - giving you both the regulator-ready metric and the story behind it.

What energy and utilities research costs with Koji

Koji uses a simple credit model: a text interview costs 1 credit and a voice interview costs 3. The free tier includes 10 credits so you can pilot a switching or tariff study before committing, and paid plans start at EUR 29 per month. A quality gate ensures only conversations scoring 3 or higher consume credits, so abandoned sessions never cost you. Against the regulatory and revenue stakes of customer satisfaction and retention, a full research program is a minor line item.

Getting started

1. Define one decision the research will inform - for example, which tariff design to launch or which program to redesign.
2. Choose the customer segment: switchers, non-enrollees, recently billed, or post-outage.
3. Let Koji's AI consultant draft the brief and interview plan, or paste your own questions.
4. Add structured questions for the metrics you need to track and report.
5. Share the link by email, SMS, or app, then route the analyzed findings to retention, regulatory, and program teams.

An energy example: from a low trust score to a billing fix

Imagine a deregulated retail energy provider whose regulator-mandated satisfaction score slipped two points, with no explanation in the data. Rather than commission a slow tracking study, the team shares a Koji interview link by email and SMS with 800 customers across switchers, stayers, and recent complainants, offering both voice and text so less-digital ratepayers can simply speak.

The themes are clear within days. The leading driver of low trust is not price but estimated billing: customers describe invoices that swing wildly month to month, then a painful true-up, leaving them feeling the meter cannot be trusted. A scale question quantifies it - trust in billing accuracy averages well below overall satisfaction - while a yes_no question shows most customers do not understand how estimates are calculated. A ranking question puts predictable, accurate bills above every other improvement, including loyalty discounts.

That gives the provider a defensible, customer-grounded case for prioritizing actual-read frequency and clearer bill explanations over a discount the data says nobody asked for. The findings route to the billing, regulatory, and communications teams, and the same study re-runs after the changes to demonstrate movement to the regulator. Because Koji captures both the quantitative metric and the verbatim story, the provider can satisfy a reporting requirement and fix the underlying experience from a single research program - the kind of dual outcome a benchmark survey alone can never deliver.

Related Resources

• Structured Questions Guide - the six question types and when to use each
• AI Research for Subscription Businesses - the retention playbook for recurring-revenue customers
• Pricing Research Interviews - test tariffs and rate plans before launch
• Voice of Customer Research Program - build an always-on ratepayer listening program
• Churned Customer Interviews - understand customers who switched away
• Customer Retention Research - turn insight into a lower switching rate