AI Experience Analytics
Medallia
SF 8.4Signal-based experience analytics with AI
Contact sales
AI Experience Analytics
Qualtrics XM
SF 8.5Enterprise experience management with AI insights
Contact sales
Quick decision guide
Choose based on your workflow
Medallia may fit better if...
- Signal Capture
- Medallia AI
- Journey Analytics
Qualtrics XM may fit better if...
- XM Platform
- Text iQ
- Predict iQ
Overview
How each tool is described
Medallia
What is Medallia?
Medallia is an enterprise experience management platform that combines customer and employee signals from surveys, voice, chat, digital behavior, social channels, and operational systems, then applies AI-driven analytics and workflows to identify issues and coordinate action across the organization.
- Experience role: Medallia brings expressed feedback and observed behavior together across touchpoints. Total Experience Profiles connect interactions into continuous customer timelines spanning digital, phone, chat, and in-person activity, while operational data can add further context to individual experiences.
- AI analysis: text and speech analytics identify themes, sentiment, emotion, intent, and other patterns in unstructured data, while root-cause analysis helps teams investigate the factors influencing experience metrics, churn, revenue, and other business outcomes.
- Operational fit: automatic alerts, case management, personalized role-based reporting, and closed-loop workflows distribute findings to employees and managers so teams can respond to individual cases and broader experience problems rather than leaving insights inside dashboards.
- Commercial considerations: Medallia uses an annual Experience Data Record (EDR) pricing model. An EDR represents the data associated with a discrete customer or employee interaction, so pricing is designed around annual interaction volumes rather than primarily charging by survey responses or user seats.
Medallia is particularly relevant to large organizations that need experience signals, analytics, customer context, and closed-loop action workflows coordinated across multiple digital, contact-center, and physical touchpoints.
Qualtrics XM
What is Qualtrics XM?
Qualtrics XM is an experience management platform for collecting and analyzing customer, employee, digital, contact-center, and research signals, then using analytics, AI, and workflows to identify experience problems and coordinate action across an organization. Its current portfolio is organized around Customer Experience, Employee Experience, and Strategy & Research.
- Experience coverage: Qualtrics supports surveys and feedback programs alongside digital experience analytics, contact-center analytics, journey analysis, employee listening, and market research. Customer Experience capabilities can combine survey feedback with calls, chats, emails, reviews, social signals, and digital behavior, including session replay, heatmaps, funnels, and frustration detection.
- AI capabilities: Qualtrics AI analyzes structured and unstructured experience data, including sentiment and themes, and can surface recommendations or predictive signals. Experience Agents go further by detecting customer issues and taking selected actions within configured guardrails, such as responding inside surveys, assisting with ticket resolution, escalating cases, or applying approved service-recovery actions.
- Operational fit: customer profiles, dashboards, automated workflows, tickets, and integrations help move experience signals into frontline and management workflows. Qualtrics workflows can trigger tasks from events such as low satisfaction scores, dashboard changes, directory activity, or connected-system alerts rather than leaving findings inside standalone survey reports.
- Commercial considerations: Qualtrics packages functionality across its XM suites using planned-usage pricing. Customers pay according to forecast interaction volumes and the products licensed rather than simply by user seat, and available capabilities vary by package. Experience Agents also have specific availability requirements and currently require eligible simplified pricing and packaging plus Qualtrics-assisted implementation.
Qualtrics XM is particularly relevant to organizations that need feedback collection, digital and contact-center intelligence, experience analytics, and operational follow-through coordinated across large customer, employee, and research programs.
Side-by-side
Key differences
Criteria
AI Experience AnalyticsMedallia
AI Experience AnalyticsQualtrics XM
Best for
AI Experience Analytics
AI Experience Analytics
Score
8.4/10
8.5/10
Pricing
Contact sales
Contact sales
Category / audience
AI Analytics Software › AI Experience Analytics
- experience management
- customer experience
- employee experience
AI Analytics Software › AI Experience Analytics
- experience management
- customer experience
- employee experience
Feature check
Side-by-side feature check
Feature
Medallia
Qualtrics XM
Signal CaptureCollects feedback across many experience channels
-
Medallia AIGenerates insights and recommended experience actions
-
Journey AnalyticsConnects signals across digital customer journeys
-
Text AnalyticsAnalyzes comments, calls, and feedback themes
-
Closed LoopRoutes issues to accountable business owners
-
Experience OrchestrationCoordinates personalized actions across customer journeys
-
12 capabilities compared.12 differentiating rows are shown first.
Use cases
Who they're built for
Medallia
- Capture customer signals across digital channelsUnify web, mobile, voice, and messaging feedback for teams
- Analyze contact center feedback at scaleFind recurring issues across calls and conversations for teams
- Prioritize CX actions with AI insightsIdentify root causes and high-impact improvement areas for teams
Qualtrics XM
- Run enterprise customer experience management programsCollect feedback, analyze signals, and close loops for teams
- Analyze open-text survey and call feedbackFind themes, sentiment, and effort across comments for teams
- Measure employee experience across large organizationsTrack engagement, drivers, and team-level action plans for teams
The trade-offs
Pros & cons of each tool
Trade-offs
Medallia
Pros
- Broad signal capture across many experience channels
- Medallia AI supports root cause prioritization at scale
- Strong fit for enterprise CX operations at scale
Cons
- Pricing and rollout suit large enterprises for buyers
- Setup needs cross-functional change management for enterprise buyers
- Overkill for basic survey reporting needs for buyers
Trade-offs
Qualtrics XM
Pros
- Broadest scope across formal experience programs at scale
- Strong text, speech, and predictive analytics at scale
- Enterprise governance fits complex global organizations at scale
Cons
- Pricing and modules require serious scoping for buyers
- Implementation can run across multiple quarters for buyers
- Too heavy for simple survey programs for buyers
Final verdict
Best fit depends on your workflow
Current catalog data shows meaningful overlap between Medallia and Qualtrics XM. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.
Differentiators available
Medallia has 4 visible decision signals and Qualtrics XM has 4.
Score signal
Qualtrics XM has the higher SoftFinders Score in the current catalog data.
Choose Medallia if…
- Capture customer signals across digital channels
- Analyze contact center feedback at scale
- Prioritize CX actions with AI insights
- Signal Capture
Choose Qualtrics XM if…
- Run enterprise customer experience management programs
- Analyze open-text survey and call feedback
- Measure employee experience across large organizations
- XM Platform
TRY THEM YOURSELF
See which one fits your workflow
Both tools have their strengths, the best way to decide is to spend a few minutes inside each.