Medallia alternatives

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.

★★★★★ 4.9 on G2 300,000+ teams Since 2018
yourteam.speakai.co
Customer giving feedback during a recorded video responseRenewal call
CX researcher reviewing a customer feedback recordingCX Research


00:22 / 06:14
JD

Jamie D. 00:41
We moved off Medallia once we needed an afternoon to see results, not a quarter-long rollout.
JD

Jamie D. 02:03
And it reads tone, beyond the text, so the churn-risk score means something.

Trusted by 300,000+ people and teams
OntarioDeloitteHubSpotIEEEEYand hundreds more

3 layers
Words, voice & screen, read together
100+
Supported languages
100+
MCP tools for your AI
6
Ways to capture a response

Ranked for 2026

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.

#1 · Best for fast time-to-value

Speak AI for multimodal, self-serve feedback

Best for: 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.

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#2 · Best for a direct enterprise XM swap

Qualtrics enterprise XM platform

Best for: 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).

#3 · Best for multilingual feedback analysis

Chattermill CX analytics platform

Best for: 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).

#4 · Best for conversational mid-market CX

SurveySparrow conversational surveys

Best for: 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).

#5 · Best for industry-specific XM templates

InMoment enterprise CX platform

Best for: 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).

#6 · Best for NPS-focused touchpoint surveys

Zonka Feedback CX & NPS surveys

Best for: 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).

#7 · Best for in-product micro-surveys

Survicate in-app feedback

Best for: 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).

#8 · Best for B2B Net Promoter programs

CustomerGauge B2B NPS platform

Best for: 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).

Side by side

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.

Feature Speak AI Medallia Qualtrics Chattermill SurveySparrow InMoment
Audio analysis (tone, emotion in voice) Yes, on Scale plans No No No No Limited
Video analysis (what’s on screen) Yes, on Scale plans No No No No No
Voice / video response capture Yes No No No No Limited
Multi-engine transcription Yes, routed per file No No Limited No Limited
NLP analytics (sentiment, keywords, topics) Yes, across your library Limited (via legacy MonkeyLearn text models) Yes Yes Yes Limited
Multi-model AI chat over responses Yes (Claude, GPT, Gemini) No No Limited No No
MCP tools for Claude, ChatGPT, Cursor 100+ tools, 7+ assistants No No No No No
Self-serve setup (no enterprise sales) Yes No No No Yes No
Time to first dashboard Same day Months Weeks Weeks Days Months
Typical annual cost (Aug 2026) Pay as you go, or affordable paid plans $200K to $1.5M+ $25K to six figures ~$64K avg deal From $19/mo Enterprise, contact sales

Beyond the survey

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.

Unified capture

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.

Audio analysis

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.

Video analysis

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.

Multi-engine transcription

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.

NLP analytics

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.

Context engineering

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.

Fair comparison

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.

The full picture

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.

MCP, API & integrations

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.

100+
Speak AI MCP tools across 10 categories
0
MCP tools in Medallia, Qualtrics, or InMoment
60s
Setup, one URL
Claude
Ask across every response, transcript, and field from inside Claude.
ChatGPT
Bring transcripts, themes, and structured data into ChatGPT.
Cursor
Pull feedback data straight into your dev environment.
MCP Server
100+ tools, one endpoint. Works with 7+ assistants and counting.
Your data lives in your Speak AI workspace, and you control what each assistant can access.

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

Choose Speak AI if you…

  • 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

Pricing comparison

Speak AI starts free to evaluate and scales by use. Enterprise XM suites are quote-only and contract-based.

Speak AI

  • Pay as you go: transcription and 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

See full Speak AI pricing →

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.

★★★★★  4.9 on G2

Teams build on Speak AI.

Real feedback from teams using Speak AI for research, customer insight, and qualitative analysis.

“We went from weeks of qual analysis to one day. Easy to use, easy to implement, and the support has been incredible.”
C
Connor H.
Data Analyst
★★★★★ Verified G2 review
“I use Speak in French and English. It saves time and increases the precision of my reports.”
F
Francois L.
Financial Advisor
★★★★★ Verified G2 review
“Speak AI helps us capture qualitative data at scale. The NLP analytics across all our recordings is something we have not found anywhere else.”
P
Priya S.
UX Research Lead
★★★★★ Verified G2 review
“It’s easy to use, and I can actually get in contact with the team behind the product. Valuable to speak to a real human.”
M
Markus B.
Medical Director
★★★★★ Verified G2 review

Frequently asked questions

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 pricing page for current details.

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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