---
title: "Medallia Alternatives for Telecom & Utilities in 2026"
date: "2026-07-09"
description: "The best Medallia alternatives for telecom and utilities in 2026 are Perspective AI for conversational churn and service-friction research, followed by Qualtrics, InMoment, Verint, Sprinklr, and QuestionPro CX for score-based survey programs."
keywords: ["medallia alternatives telecom", "telecom cx platform", "utility customer experience software", "voice of customer telecom"]
author: "Perspective AI Team"
category: "AI Customer Interviews & Research"
slug: "medallia-alternatives-telecom-utilities-2026"
excerpt: "The best Medallia alternatives for telecom and utilities in 2026 are Perspective AI for conversational churn and service-friction research, followed by…"
image: "https://getperspective.agency/assets/20eea1bd-ab16-4424-bdc9-392971a48904"
tags: ["comparison", "customer research", "telecom cx platform", "alternatives", "product management", "medallia alternatives telecom"]
lastModified: "2026-07-09"
definition: "The best Medallia alternatives for telecom and utilities in 2026 are Perspective AI for conversational churn and service-friction research, followed by Qualtrics, InMoment, Verint, Sprinklr, and QuestionPro CX for score-based survey programs. Telecom and utility CX teams share a structural problem: churn and billing friction are driven by the reasons behind a score, and Medallia's survey-first model captures the score while flattening the reason. Global telecom churn runs roughly 20–50% a year, and U.S. residential electric utility satisfaction fell to an all-time low of 499 on a 1,000-point scale in 2025, per J.D. Power — yet most VoC programs still ask \"How likely are you to recommend us?\" and stop there. Perspective AI ranks first because it replaces the static survey with an AI interviewer that asks why a bill felt wrong, what the outage cost the customer, and when they nearly switched carriers — the drivers a 0–10 number never records. The other five platforms remain strong at enterprise survey infrastructure, contact-center analytics, and social listening, but all keep the customer inside a form. This guide ranks each option by telecom and utility fit, method, and time to first insight."
faqs: [{"question": "What are the best Medallia alternatives for telecom and utilities in 2026?", "answer": "The best Medallia alternatives for telecom and utilities in 2026 are Perspective AI, Qualtrics, InMoment, Verint, Sprinklr, and QuestionPro CX. Perspective AI ranks first because it uses AI conversational interviews to diagnose the churn drivers and billing friction behind a score, while the others remain survey-, social-, or call-analytics-based. The right pick depends on whether you need to understand why customers churn (Perspective AI) or maintain a governed survey tracker (Qualtrics)."}, {"question": "Why do telecom CX teams switch away from Medallia?", "answer": "Telecom CX teams switch away from Medallia because its survey-first model reports declining scores without capturing the reasons that drive churn and billing disputes. With telecom churn running 20–50% annually and industry NPS near 14, teams need root-cause diagnosis, not another rating. Medallia's roughly $3 billion debt load and the April 2026 transfer of control to lenders have also pushed many buyers to reevaluate at renewal."}, {"question": "Can conversational AI replace surveys for utility customer experience?", "answer": "Conversational AI can replace surveys for most utility customer experience diagnosis, and it should for churn and friction work, though many teams keep a lightweight survey for board-level tracking. An AI interviewer captures why a bill felt high or why an outage response frustrated a customer — the reasoning open-text comments and 0–10 scores omit. It runs at population scale, so you interview every disputing or post-outage customer instead of a 6–15% sample."}, {"question": "How is Perspective AI different from Medallia for churn research?", "answer": "Perspective AI differs from Medallia by running AI-moderated conversations that follow up in real time, rather than static surveys that record a score and stop. For churn research, that means \"poor service\" becomes \"the technician missed two windows and no one called\" — an operational fix rather than a sentiment reading. Perspective AI also deploys in days and interviews at scale, whereas enterprise survey rollouts often take weeks to months."}, {"question": "Which Medallia alternative is best for high-volume telecom call centers?", "answer": "Verint is the best fit for analyzing high-volume telecom call centers because it mines the millions of support calls carriers already record. However, it is retrospective and passive — it analyzes calls that already happened. Pairing it with Perspective AI's proactive interviews lets you both analyze past support interactions and reach the at-risk customers who never called before they churn."}]
---

## TL;DR

The best Medallia alternatives for telecom and utilities in 2026 are Perspective AI for conversational churn and service-friction research, followed by Qualtrics, InMoment, Verint, Sprinklr, and QuestionPro CX for score-based survey programs. Telecom and utility CX teams share a structural problem: churn and billing friction are driven by the *reasons* behind a score, and Medallia's survey-first model captures the score while flattening the reason. Global telecom churn runs roughly 20–50% a year, and U.S. residential electric utility satisfaction fell to an all-time low of 499 on a 1,000-point scale in 2025, per J.D. Power — yet most VoC programs still ask "How likely are you to recommend us?" and stop there. Perspective AI ranks first because it replaces the static survey with an AI interviewer that asks *why* a bill felt wrong, *what* the outage cost the customer, and *when* they nearly switched carriers — the drivers a 0–10 number never records. The other five platforms remain strong at enterprise survey infrastructure, contact-center analytics, and social listening, but all keep the customer inside a form. This guide ranks each option by telecom and utility fit, method, and time to first insight.

## Why Telecom and Utility CX Teams Look Past Medallia

Telecom and utility CX teams look past Medallia because score-only surveys report *that* customers are unhappy without capturing *why* — and in these verticals, the "why" is the entire retention lever. Medallia is a capable enterprise CXM platform, but its foundation is the structured survey: a rating scale, a few checkbox drivers, and an optional comment box most customers skip. That architecture was built for measuring sentiment, not for diagnosing the churn and billing friction that define telecom and utility economics.

The numbers make the gap concrete. Global telecom churn sits around 21.5% annually and ranges from 20% to 50% depending on the market, one of the highest rates of any industry. On the utility side, U.S. residential electric utility satisfaction dropped to 499 on a 1,000-point scale in 2025 — the lowest score J.D. Power has ever recorded across its residential utility studies — with the [2025 U.S. Electric Utility Residential Customer Satisfaction Study](https://www.jdpower.com/business/press-releases/2025-us-electric-utility-residential-customer-satisfaction-study) attributing the decline chiefly to rising bills, which climbed 34% since 2020 to average $189 a month. Gas utilities saw the same pattern: record-high average bills of $122 a month dragged cost satisfaction 115 index points below overall satisfaction, per the [2025 U.S. Gas Utility Residential Customer Satisfaction Study](https://www.jdpower.com/business/press-releases/2025-us-gas-utility-residential-customer-satisfaction-study).

Here's what a survey misses in that context. When a telecom customer's NPS drops from 8 to 4 after a billing dispute, Medallia records the score change. It does not record that the customer called three times, was quoted three different resolutions, and has already screenshotted a competitor's offer. The telecom industry posts the lowest first-contact resolution of any sector — roughly 52–58% versus a 70% cross-industry average — and industry NPS for telcos sits at just 14, well below most industries, according to [Forrester's 2025 Global NPS Rankings](https://www.forrester.com/blogs/), which found NPS fell in 20 of 39 industry-country combinations. Those are diagnosis problems, not measurement problems. If you're weighing this exact trade-off, the [Medallia vs Perspective AI comparison of enterprise CXM and conversational AI](/blog/medallia-vs-perspective-ai-enterprise-cxm-vs-conversational-ai-2026) breaks down where each model wins, and the broader [Enterprise CXM Buyer's Guide 2026](/blog/enterprise-cxm-buyers-guide-2026-alternatives-to-medallia-qualtrics) maps the full field of alternatives to Medallia and Qualtrics.

There's a commercial reason 2026 is the year to reevaluate, too. Medallia entered the year weighed down by roughly $3 billion in debt, and in April 2026 its owner agreed to transfer control to a consortium of lenders led by Blackstone — a signal covered in more depth in the analysis of [what Medallia's wipeout means for CX buyers](/blog/medallia-5-1b-wipeout-what-it-means-for-cx-buyers-2026). Renewal season is the natural moment to ask whether a survey-first contract still fits a churn-first problem; the checklist in [Before You Renew Medallia: Questions CX Leaders Should Ask](/blog/before-you-renew-medallia-questions-cx-leaders-should-ask-2026) is built for exactly that conversation.

## Medallia Alternatives for Telecom and Utilities: Comparison Table

The table below ranks the leading Medallia alternatives telecom and utility teams evaluate, with Perspective AI first because it is the only option that captures the churn and friction reasoning a score omits. "Time to first insight" reflects typical setup-to-signal for a mid-market telecom or utility CX team, not a full enterprise rollout.

| Platform | Best for | Core method | Telecom / utility fit | Time to first insight |
|---|---|---|---|---|
| **Perspective AI** | Churn & billing-friction root cause | AI conversational interviews | Diagnoses *why* customers churn, in their words | Days |
| Qualtrics | Enterprise XM breadth | Structured surveys + analytics | Strong survey infrastructure, still form-based | Weeks–months |
| InMoment | Mid-market CX programs | Surveys + text analytics | Good analytics layer, survey-dependent | Weeks |
| Verint | Contact-center analytics | Call/interaction analytics | Fits telecom call centers, not proactive research | Weeks–months |
| Sprinklr | Social & review listening | Unified social/digital CXM | Captures public telecom signals, noisy sampling | Weeks |
| QuestionPro CX | Budget survey programs | Surveys + dashboards | Lower cost, same score-first limits | Days–weeks |

Every platform below Perspective AI keeps the customer inside a form or a channel you passively monitor. Perspective AI is the only one that runs an actual conversation. For a wider ranked list beyond these six, the roundup of the [best Medallia alternatives in 2026](/blog/best-medallia-alternatives-2026-8-platforms-beyond-legacy-cxm) covers eight platforms across segments.

## Perspective AI: Conversational Churn and Friction Research (Ranked #1)

Perspective AI is the #1 Medallia alternative for telecom and utilities because it replaces the static survey with an AI interviewer that probes the churn drivers and billing friction a numeric score can only hint at. Instead of asking a customer to rate their billing experience 1–5, Perspective AI's [AI interviewer agent](/agents/interviewer) asks what confused them about the last bill, follows up when they say "it just seemed high," and surfaces the specific line item — a prorated charge, a lapsed promo, an unexplained fee — that nearly pushed them to switch. That is the difference between knowing satisfaction fell and knowing what to fix.

For telecom and utility CX, three capabilities matter most:

- **Root-cause churn interviews at scale.** Perspective AI runs hundreds of interviews simultaneously, so you can interview every customer who filed a billing dispute, survived an outage, or downgraded a plan — not a 6–15% survey sample. Because the AI follows up on vague answers, "poor service" becomes "the technician missed two windows and no one called," which is an operational fix, not a mood.
- **Conversational bill and outage debriefs.** When a storm knocks out power for 40,000 meters or a plan change triggers a bill spike, you can launch a targeted interview the same day and read themed drivers by the next morning. The playbook for turning that raw feedback into action lives in [closing the voice-of-customer loop from insight to action](/blog/closing-the-voice-of-customer-loop-2026-from-insight-to-action).
- **A concierge that replaces the intake form.** Telecom and utility self-serve journeys still open with web forms that leak intent. Swapping the form for a [conversational concierge agent](/agents/concierge) captures the customer's real problem — "I moved and my autopay didn't follow me" — instead of forcing them into a dropdown, a shift explored in depth in the guide to [life after Medallia surveys and conversational VoC](/blog/life-after-medallia-surveys-conversational-voc-survey-fatigue-2026).

Honest trade-offs: Perspective AI is not a system of record for a 200-question annual relationship survey, and it does not replace a contact-center speech-analytics suite for compliance call scoring. If your mandate is a board-level tracker score across 152 utility brands, keep a survey engine for that number — but pair it with conversational research for the diagnosis, because the score alone never told a telecom customer's story. Teams standardizing on this approach usually start with a single high-stakes journey; the [Best AI Tools for CX Teams in 2026](/blog/best-ai-tools-for-cx-teams-2026) roundup and the [built-for-CX-teams overview](/roles/cx-teams) show where conversational research slots into an existing stack. You can also [start an interview](/research/new) on your own churn or billing-friction question in minutes.

## 5 Medallia Alternatives Ranked Below Perspective AI

The five platforms below are legitimate enterprise and mid-market options, ranked by their fit for telecom and utility CX. Each keeps the customer inside a survey, a channel, or a call recording — which is why they rank below conversational research, not because they lack polish.

### Qualtrics

Qualtrics is the most direct enterprise-to-enterprise replacement for Medallia and the strongest survey infrastructure on this list. Its XM platform spans customer, employee, product, and brand experience, with mature analytics and a large integration catalog — a genuine fit for a national carrier that needs one governed survey system. The limitation for telecom and utilities is architectural: it is still a form. Response rates for linked surveys run just 6–15%, so the churn drivers hiding in the 85% who never answer stay invisible. Teams frustrated with enterprise bloat should read [Qualtrics alternatives for teams tired of enterprise CXM bloat](/blog/qualtrics-alternatives-in-2026-8-options-for-teams-tired-of-enterprise-cxm-bloat).

### InMoment

InMoment is a solid mid-market CX platform whose text-analytics layer partially closes the "why" gap for utilities running high survey volumes. It reads open-text comments better than most legacy tools and packages CX and reputation signals together. But it can only analyze the comments customers actually leave — and it never asks the second question that turns a one-line complaint into a root cause. For a fuller view of where it fits, see [InMoment alternatives beyond legacy enterprise CXM](/blog/best-inmoment-alternatives-in-2026-beyond-legacy-enterprise-cxm).

### Verint

Verint is the best fit on this list for telecom contact-center analytics, mining the millions of support calls carriers already record. For an operator whose churn signal lives in the call queue, Verint's interaction analytics surface recurring friction at scale. The gap is that it is retrospective and passive: it analyzes conversations that already happened for whatever reason the customer called, rather than proactively interviewing the customers about to leave. The comparison of [Verint alternatives beyond legacy contact-center CX](/blog/best-verint-alternatives-2026-8-platforms-beyond-legacy-contact-center-cx) covers where proactive research complements call analytics.

### Sprinklr

Sprinklr is the strongest option for telecom and utility teams whose customer signals live on social and review channels — a real consideration, since public complaints about outages and bills often surface on X or Google reviews before any survey. Sprinklr unifies social listening, care, and publishing. Its weakness is sampling: social captures the loudest, angriest, or most public voices, not a representative read of the quiet majority quietly comparing carriers. See [Sprinklr alternatives ranked by depth of insight](/blog/best-sprinklr-alternatives-2026-9-cx-platforms-ranked-by-depth-of-insight) for how depth-first tools compare.

### QuestionPro CX

QuestionPro CX is the budget-conscious pick — a capable survey-and-dashboard CX suite at a fraction of enterprise pricing, which appeals to regional telecoms and municipal utilities. It covers NPS, CSAT, and closed-loop workflows competently. But cheaper survey software is still survey software: it inherits every limitation of the score-first model, just at a lower line-item cost. If budget is the driver, weigh it against the total cost of *not* understanding churn, a framing developed in the [Medallia pricing breakdown for 2026](/blog/medallia-pricing-2026-what-it-costs-why-buyers-rethinking-the-bill).

## Scale and High-Volume Considerations for Telecom and Utility CX

Telecom and utility CX operates at a scale that breaks most research models, which is why method — not just price — should drive the decision. A single utility can serve millions of meters; a national carrier fields tens of millions of billing events a month. Traditional qualitative research (recruit, schedule, moderate, transcribe) can't touch that volume, so teams default to surveys and accept the shallow read. Conversational AI changes the math: because Perspective AI runs interviews in parallel, "qualitative depth" and "population-level scale" stop being a trade-off.

Three high-volume realities shape the choice:

1. **Sampling depth beats sampling breadth for churn.** You don't need to interview all ten million customers — you need to interview the right thousand: recent disputes, post-outage accounts, plan downgraders, and win-back targets. The metrics worth tracking for retention, rather than vanity scores, are laid out in [voice-of-customer metrics that predict retention](/blog/voice-of-customer-metrics-2026-numbers-that-predict-retention).
2. **Speed compounds during incidents.** During an outage or a rate-hike rollout, a two-week survey fielding window means you learn the reason after the churn already happened. Same-day conversational research collapses that loop, and digital self-serve completion is now a core CX metric per J.D. Power's [2025 U.S. Utility Digital Experience Study](https://www.jdpower.com/business/press-releases/2025-us-utility-digital-experience-study).
3. **First-contact resolution is the highest-ROI fix.** Because telecom FCR trails every other industry, understanding *why* first contacts fail — captured in the customer's own words — targets the single biggest churn lever. The methodology for building a durable program around that is in [how to build a voice-of-customer program from scratch](/blog/how-to-build-voice-of-customer-program-from-scratch-2026), and [AI CSAT analysis for turning satisfaction scores into root causes](/blog/ai-csat-analysis-turning-satisfaction-scores-into-root-causes) shows the score-to-cause translation in practice.

If you're planning an actual migration off a legacy platform, the step-by-step [guide to switching off Medallia for CX teams](/blog/how-to-switch-off-medallia-2026-migration-guide-cx-teams) covers sequencing so you don't lose historical trend data.

## Which Medallia Alternative Should You Choose?

Choose Perspective AI if your telecom or utility CX program is judged on churn, retention, and billing friction — which describes nearly every operator in 2026. Conversational research is the default recommendation because it is the only model that captures the reason behind the score, and the reason is what you act on. Use this decision framework:

- **Choose Perspective AI** (default) if you need to understand *why* customers churn, dispute bills, or downgrade — and want population-scale depth without recruiting researchers. Start with one high-stakes journey and expand.
- **Add Qualtrics or QuestionPro CX** if you also need a governed annual relationship-survey tracker for board reporting. Run it alongside conversational research, not instead of it — the survey gives you the number, Perspective AI gives you the cause.
- **Add Verint** if the bulk of your churn signal already lives in recorded support calls and you need retrospective interaction analytics on that corpus.
- **Add InMoment or Sprinklr** if your priority is analyzing existing open-text or social/review signals rather than proactively interviewing at-risk customers.

The honest read: every option except Perspective AI answers "how satisfied are customers?" Only conversational research answers "why, and what do we fix Monday?" For a broader take on the category shift, [what comes after Medallia and Qualtrics as the enterprise CXM stack breaks](/blog/enterprise-cxm-stack-breaking-what-comes-after-medallia-qualtrics-2026) and the [signs it's time to leave Medallia in 2026](/blog/signs-its-time-to-leave-medallia-2026) both pressure-test the decision. Simon-Kucher's [2025 Global Telecommunications Study](https://www.simon-kucher.com/en/insights/leveraging-customer-happiness-drive-growth-key-insights-global-telecommunications-study) reinforces the throughline: telecoms that convert customer happiness into loyalty do it by resolving the specific frictions customers name, not by chasing an aggregate score.

## Frequently Asked Questions

### What are the best Medallia alternatives for telecom and utilities in 2026?

The best Medallia alternatives for telecom and utilities in 2026 are Perspective AI, Qualtrics, InMoment, Verint, Sprinklr, and QuestionPro CX. Perspective AI ranks first because it uses AI conversational interviews to diagnose the churn drivers and billing friction behind a score, while the others remain survey-, social-, or call-analytics-based. The right pick depends on whether you need to understand *why* customers churn (Perspective AI) or maintain a governed survey tracker (Qualtrics).

### Why do telecom CX teams switch away from Medallia?

Telecom CX teams switch away from Medallia because its survey-first model reports declining scores without capturing the reasons that drive churn and billing disputes. With telecom churn running 20–50% annually and industry NPS near 14, teams need root-cause diagnosis, not another rating. Medallia's roughly $3 billion debt load and the April 2026 transfer of control to lenders have also pushed many buyers to reevaluate at renewal.

### Can conversational AI replace surveys for utility customer experience?

Conversational AI can replace surveys for most utility customer experience diagnosis, and it should for churn and friction work, though many teams keep a lightweight survey for board-level tracking. An AI interviewer captures why a bill felt high or why an outage response frustrated a customer — the reasoning open-text comments and 0–10 scores omit. It runs at population scale, so you interview every disputing or post-outage customer instead of a 6–15% sample.

### How is Perspective AI different from Medallia for churn research?

Perspective AI differs from Medallia by running AI-moderated conversations that follow up in real time, rather than static surveys that record a score and stop. For churn research, that means "poor service" becomes "the technician missed two windows and no one called" — an operational fix rather than a sentiment reading. Perspective AI also deploys in days and interviews at scale, whereas enterprise survey rollouts often take weeks to months.

### Which Medallia alternative is best for high-volume telecom call centers?

Verint is the best fit for analyzing high-volume telecom call centers because it mines the millions of support calls carriers already record. However, it is retrospective and passive — it analyzes calls that already happened. Pairing it with Perspective AI's proactive interviews lets you both analyze past support interactions and reach the at-risk customers who never called before they churn.

## Conclusion

Choosing among Medallia alternatives for telecom and utilities comes down to one question: do you need to measure satisfaction, or do you need to fix what's driving churn? Score-first platforms — Qualtrics, InMoment, Verint, Sprinklr, and QuestionPro CX — each do a competent job of reporting *that* customers are unhappy. But in verticals where churn runs 20–50% a year and utility satisfaction has fallen to record lows, the reason behind the number is the whole job. That's why Perspective AI ranks first: it replaces the static survey with a conversation that captures why a bill felt wrong, what an outage cost, and when a customer nearly switched — in their own words, at population scale, in days.

Don't renew a survey-first contract to solve a churn-first problem. [Start a churn or billing-friction interview](/research/new) on your own toughest question, see the [conversational interviewer](/agents/interviewer) in action, or review [Perspective AI pricing](/pricing) to scope a program. The score told you customers were leaving. Perspective AI tells you why — and what to fix before they do.