The best Medallia alternatives for
fast-moving CX teams.
Medallia is enterprise-grade experience management, with the months-long implementation, quote-only pricing, and platform complexity that come with it. Speak AI captures voice and video feedback the same afternoon and reads tone of voice, emotion in voice, and what’s on screen, not only the words. Here are the best Medallia alternatives for 2026, reviewed honestly.
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The top Medallia alternatives, ranked
Medallia alternatives split into two camps: lighter survey tools built for self-serve teams, or other enterprise XM suites with the same contract and rollout weight as Medallia. Speak AI is a third path: multimodal, AI-analyzed feedback with same-day setup and no enterprise sales process.
Speak AI for multimodal, self-serve feedback
Ιδανικό για: CX and research teams who need analyzed, multimodal customer insight in days, not months, without an enterprise contract.
- Same-day setup: embed a recorder, capture voice or video, analyze immediately
- Audio analysis (tone of voice, emotion in voice) and video analysis (what’s on screen)
- Multi-engine transcription across 100+ languages
- AI Chat over the full feedback corpus (Claude, GPT, Gemini)
- MCP server: 100+ tools inside Claude, ChatGPT, and Cursor
Limits: Not a full enterprise XM suite. Pair with a CX dashboard tool if you need cross-functional touchpoint scoring across thousands of seats.
Pricing: pay-as-you-go plus paid plans, trial, no credit card required. As of Aug 2026.
Qualtrics enterprise XM platform
Ιδανικό για: Large enterprises evaluating Medallia and Qualtrics head to head on full XM suites.
- Full XM platform: CoreXM, CustomerXM, EmployeeXM modules
- Strong panel and statistical research tools
- Mature dashboards and integrations
Limits: Quote-based, no self-serve checkout for the professional tiers. Similar cost and rollout weight to Medallia.
Pricing: CoreXM typically $25,000 to $50,000/yr entry; median contract around $30,000/yr; full CX/EX suites can reach six figures (getperspective.ai, CleverX, Aug 2026).
Chattermill CX analytics platform
Ιδανικό για: Global CX teams analyzing feedback across many languages and channels.
- Strong multilingual NLP
- Omnichannel feedback ingestion
- Real-time feedback dashboards
Limits: Heavier setup than a self-serve tool; not built for voice or video capture.
Pricing: quote-based; average deal size around $64,000/yr (Vendr transaction data, 2026).
SurveySparrow conversational surveys
Ιδανικό για: Mid-market teams who want Medallia-style touchpoint surveys with a lighter, self-serve footprint.
- Conversational survey UI
- Multi-channel delivery
- Public, self-serve pricing
Limits: Survey-first; lighter on open-ended response analysis than an NLP-native tool.
Pricing: free plan available; paid plans from $19/mo Basic, $39/mo Starter (Capterra, Formbricks, Aug 2026).
InMoment enterprise CX platform
Ιδανικό για: Enterprises in retail, financial services, or healthcare that want industry-tuned XM playbooks.
- Industry-specific playbooks
- Mature CX dashboards
- Strong consulting layer
Limits: Enterprise pricing and a consulting-heavy rollout, similar to Medallia.
Pricing: no public pricing page; enterprise, contact sales (verified live, Aug 2026).
Zonka Feedback CX & NPS surveys
Ιδανικό για: Teams running NPS, CSAT, and CES programs at retail, branch, or touchpoint scale.
- Strong NPS and CSAT workflows
- Kiosk, email, and SMS delivery
- Affordable entry tier
Limits: Survey-centric; no native voice or video capture, and AI features sit in a higher tier.
Pricing: entry tiers around $99 to $199/mo; AI features from roughly $799/mo (zonkafeedback.com/pricing, Aug 2026).
Survicate in-app feedback
Ιδανικό για: SaaS product teams capturing lightweight feedback inside their app.
- In-app survey widgets
- Strong integrations
- Lightweight, self-serve UI
Limits: Not designed for enterprise-scale CX programs or voice/video feedback.
Pricing: free plan available; Starter $89/mo; Pro and Enterprise $299 to $499/mo (survicate.com/pricing, Aug 2026).
CustomerGauge B2B NPS platform
Ιδανικό για: B2B CX teams running account-level NPS with revenue tie-in.
- Account-level NPS
- Revenue impact reporting
- Closed-loop workflows
Limits: B2B NPS focus, narrower than a full XM suite.
Pricing: custom, contact sales (Capterra, SoftwareSuggest, Aug 2026).
Medallia alternatives compared: 2026
Medallia is a well-regarded enterprise experience platform built for large, cross-functional CX programs. It was not built for same-day setup or multimodal capture. Here is the direct comparison.
| Χαρακτηριστικό | Speak AI | Medallia | Qualtrics | Chattermill | SurveySparrow | InMoment |
|---|---|---|---|---|---|---|
| Audio analysis (tone, emotion in voice) | Yes, on Scale plans | Οχι | Οχι | Οχι | Οχι | Περιωρισμένος |
| Video analysis (what’s on screen) | Yes, on Scale plans | Οχι | Οχι | Οχι | Οχι | Οχι |
| Voice / video response capture | Ναί | Οχι | Οχι | Οχι | Οχι | Περιωρισμένος |
| Μεταγραφή πολλαπλών κινητήρων | Yes, routed per file | Οχι | Οχι | Περιωρισμένος | Οχι | Περιωρισμένος |
| NLP analytics (sentiment, keywords, topics) | Yes, across your library | Limited (via legacy MonkeyLearn text models) | Ναί | Ναί | Ναί | Περιωρισμένος |
| Multi-model AI chat over responses | Yes (Claude, GPT, Gemini) | Οχι | Οχι | Περιωρισμένος | Οχι | Οχι |
| MCP tools for Claude, ChatGPT, Cursor | 100+ tools, 7+ assistants | Οχι | Οχι | Οχι | Οχι | Οχι |
| Self-serve setup (no enterprise sales) | Ναί | Οχι | Οχι | Οχι | Ναί | Οχι |
| Time to first dashboard | Same day | Months | Weeks | Weeks | Ημέρες | Months |
| Typical annual cost (Aug 2026) | Πληρώστε καθώς χρησιμοποιείτε ή επιλέξτε από οικονομικά σχέδια συνδρομής | $200K to $1.5M+ | $25K to six figures | ~$64K avg deal | From $19/mo | Enterprise, contact sales |
Written feedback alone was never the whole story.
A survey score or a text comment tells you what a customer said. It does not tell you that their voice tightened when the renewal price came up, or that they had a competitor’s pricing page open while they answered. Speak AI reads the words, the tone of voice, and the visuals together, and keeps all three searchable in one system of record.
One archive, not five tools
Voice responses, video responses, uploaded recordings, and live calls all land in the same searchable workspace with permissions and folders, so the whole team draws on the same context.
Tone of voice and emotion in voice
Speak AI scores how a response actually sounded, beyond what was typed or said. Frustration, hesitation, and confidence get flagged automatically, so a churn-risk score has something real behind it.
Body language and what’s on screen
When a customer shares their screen or answers on video, Speak AI reads what was on it, an unclear pricing page, a competitor’s site, and ties it to the moment in the transcript.
Any file, live or recorded
Speak AI ingests uploaded recordings, embeddable recorder sessions, and live calls, in 100+ languages, routed to the transcription engine that fits the file.
Trends across the whole library
Keywords, sentiment, entities, and topics are extracted automatically and tracked over time, so patterns in open-ended feedback show up as a report instead of a manual read-through.
Custom applications on top of the context
Every response, audio signal, and screen read builds a context engine your other applications can query, through the API, webhooks, or the MCP server.
Where Medallia still wins.
Medallia remains a category leader in enterprise experience management. Its strengths are real: omnichannel feedback ingestion, role-based dashboards across thousands of users, industry-specific templates, and proven scale at Fortune 500 deployments. If a CX program needs a full XM suite across employee, customer, and brand experience with enterprise governance, Medallia or Qualtrics belongs on the shortlist. Speak AI makes more sense when the bottleneck is open-ended, multimodal feedback analysis, time-to-value, or avoiding an enterprise contract.
One part of Medallia’s story is worth a fair mention: in February 2022, Medallia acquired MonkeyLearn, a self-serve text-analytics platform, and folded MonkeyLearn’s sentiment, topic, and keyword-extraction models into Medallia Experience Cloud. MonkeyLearn’s standalone self-serve product has since been wound down: as of August 2026, monkeylearn.com redirects to medallia.com, so teams that want a lightweight, self-serve NLP tool without an enterprise contract now need a different option. If that describes your search, see our best MonkeyLearn alternative comparison.
Choosing a Medallia alternative in 2026
Medallia and Speak AI solve different problems for different buyers. Here is the honest breakdown.
The time-to-value problem
Medallia implementations frequently run three to six months before the first production dashboard. For mid-market teams, fast-moving startups, or research-driven groups, that timeline does not match how decisions actually get made. Speak AI offers same-day setup: deploy an embeddable recorder or an audio/video survey, capture responses, and see analyzed transcripts within hours.
What happened at Medallia in 2026
Medallia’s ownership changed again this year. Thoma Bravo, which took the company private in a $6.4 billion deal in 2021, handed control to its lenders in April 2026 in a debt-for-equity swap that wiped out roughly $5.1 billion of Thoma Bravo’s equity. The lender group, led by Blackstone alongside KKR, Apollo Global, and Antares Capital, injected $150 million in new capital to reduce Medallia’s debt and fund product investment (Medallia press release; Bloomberg, April 2026). Medallia continues to operate and serve enterprise customers under the new ownership. For CX leaders re-evaluating contracts at renewal, ownership stability is a real factor worth asking about. Self-serve alternatives like Speak AI sidestep that risk entirely: no multi-year lock-in, no roadmap dependency on a private-equity capital structure.
The open-ended feedback gap
Medallia handles structured touchpoint data well. Open-ended feedback, interviews, voice comments, recorded sessions, typically gets exported and read manually, or processed through its legacy MonkeyLearn-derived text models with limited depth on audio or video. Speak AI’s NLP layer plus multi-model AI Chat treats unstructured, multimodal feedback as a first-class dataset: ask what customers are frustrated about this quarter and get an answer with source citations back to the original recording.
Built for a shared archive, not a quarterly rollout
Speak AI is unified capture across an embeddable recorder, audio and video surveys, voice agents, and file uploads, all landing in one searchable knowledge base your other applications can query through the API or the MCP server. CX teams, research teams, agencies, and operations groups all draw on the full context of a response, the words, the tone of voice, and the screen, instead of a locked-down enterprise dashboard maintained by a separate admin team.
Bring your context into Claude, ChatGPT, and Cursor.
Medallia and most enterprise XM suites keep feedback locked inside their own dashboard. Speak AI’s MCP server gives any assistant 100+ tools to search, analyze, and act on your full feedback archive, transcripts, audio signals, and screen reads included, in about 60 seconds. No terminal, no npm, no config, backed by a full developer API.
Which one is right for you?
Both are legitimate products. They are built for different programs.
Choose Medallia if you…
- Run a full XM program across employee, customer, and brand experience
- Need role-based dashboards for thousands of internal users
- Have a dedicated CX admin team and a multi-month rollout budget
- Need proven, Fortune 500-scale deployment references
- Don’t need voice or video response capture, or multimodal analysis
Επιλέξτε Speak AI αν…
- Need audio analysis and video analysis, not only survey scores
- Want same-day setup without an enterprise sales process
- Need a shared, searchable archive across voice, video, and text feedback
- Want NLP analytics and trends across hundreds of responses
- Need multi-model AI chat across your full feedback library
- Want MCP access from Claude, ChatGPT, and Cursor
Pricing comparison
Speak AI starts free to evaluate and scales by use. Enterprise XM suites are quote-only and contract-based.
Speak AI
- Πληρώνω καθώς χρησιμοποιώ: μεταγραφή και AI chat, credits-based
- Individual plan with transcription, storage, AI chat, and analysis included
- Team plan with shared libraries, collaboration, and priority support
- Enterprise: custom SSO, data controls, white-label, custom agents
- Free trial, more credits with a work email
Medallia (and comparable XM suites)
- Medallia: no public pricing; buyer-reported contracts $200K to $1.5M+/yr
- Qualtrics: CoreXM from $25K to $50K/yr; full suites reach six figures
- InMoment: enterprise, contact sales, no public pricing page
- Chattermill: quote-based; average deal around $64K/yr
Sourced from VendorBenchmark, getperspective.ai, CleverX, and Vendr transaction data, and direct vendor site checks, Aug 2026.
Teams build on Speak AI.
Real feedback from teams using Speak AI for research, customer insight, and qualitative analysis.
Συχνές ερωτήσεις
Common questions when comparing Speak AI and Medallia alternatives.
In April 2026, Thoma Bravo, which took Medallia private in a $6.4 billion 2021 buyout, handed control of the company to its lenders in a debt-for-equity swap. The lender group, led by Blackstone alongside KKR, Apollo Global, and Antares Capital, wiped out roughly $5.1 billion of Thoma Bravo’s equity and injected $150 million in new capital to reduce Medallia’s debt and fund product investment (Medallia press release; Bloomberg, April 2026). Medallia continues to operate and serve enterprise customers under the new ownership structure.
The main alternatives are Speak AI, Qualtrics, Chattermill, SurveySparrow, InMoment, Zonka Feedback, Survicate, and CustomerGauge. Qualtrics and InMoment are the closest full-XM-suite competitors; SurveySparrow, Zonka Feedback, and Survicate are lighter, self-serve survey tools; Speak AI is the multimodal option, adding audio and video analysis with same-day setup.
Medallia does not publish pricing. Buyer-reported enterprise contracts in 2026 typically range from about $200,000 to more than $1.5 million per year, depending on modules, seats, and professional services (VendorBenchmark enterprise benchmark data, 2026). Speak AI publishes self-serve pricing and offers a trial.
SurveySparrow, Zonka Feedback, and Survicate all offer free tiers for low-volume programs. Speak AI offers a trial with no credit card required.
Medallia and Qualtrics are most often compared head to head as the two leading enterprise experience-management suites. For teams that want lighter, self-serve tools instead of a full enterprise XM suite, SurveySparrow, Zonka Feedback, and Speak AI are the common alternatives.
Yes. Medallia is a long-established, publicly recognized enterprise CX platform used by many Fortune 500 companies, and its surveys and analytics are legitimate and widely trusted for large-scale programs. The real question for buyers is fit, not legitimacy: Medallia is built for large enterprise programs with dedicated CX teams and typically six-figure annual contracts, while Speak AI is built for teams that want self-serve setup and analyzed, multimodal insight the same day.
Medallia is enterprise-contract only, typically $200,000 to $1.5 million or more per year. Speak AI offers self-serve paid plans and a trial at a small fraction of that cost. See the σελίδα τιμολόγησης για τρέχουσες λεπτομέρειες.
Speak AI works well for mid-market and enterprise teams running customer-discovery, voice-of-customer, and research programs. For full XM suites across employee, customer, and brand experience with thousands of users, evaluate Medallia, Qualtrics, or InMoment in parallel.
Speak AI is not an employee-engagement platform. For EX programs, evaluate Medallia, Qualtrics, or specialized tools built for that use case. Speak AI is strongest on customer-side conversations and open-ended, multimodal feedback analysis.
Both apply NLP to customer feedback. Speak AI adds voice and video capture as first-class inputs, multi-engine transcription, and multi-model AI Chat over the entire corpus. Chattermill is stronger on multilingual text-feedback ingestion at enterprise scale.
Start with Speak AI.
Multimodal feedback capture, audio analysis, video analysis, NLP analytics, multi-model AI chat, and 100+ languages, in one shared archive. Book a free consult and see it on your own recording.
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