Koji vs Medallia: AI Research Interviews vs Enterprise VoC Platform (2026)
Medallia starts at $20,000/year and takes months to implement. Koji delivers AI-moderated interview depth in hours, not quarters — with transparent pricing and no consultants required.
Koji Team
April 17, 2026
The Short Answer
Medallia is the gold standard for enterprise Voice of Customer programs — collecting NPS scores, CSAT ratings, and survey data at scale across hundreds of customer touchpoints. But it starts at $20,000 per year, takes months to implement, and is fundamentally quantitative: it tells you how many customers are unhappy, not why they are unhappy.
Koji is purpose-built for the "why." It runs AI-moderated voice and text interviews that probe, follow up, and surface the qualitative context Medallia cannot capture — in hours, not quarters, and without a team of consultants.
If you are an enterprise with an established CX program and need a platform for thousands of touchpoints across your organization, Medallia makes sense. If you need to understand your customers at depth and get there fast, Koji is the better choice.
What Medallia Does
Medallia is an enterprise customer experience management (CXM) platform. It is built for Fortune 1000 companies that need to:
- Collect feedback across every touchpoint: email, SMS, web, in-app, social, call center
- Aggregate NPS, CSAT, and CES scores into unified dashboards
- Route feedback to the right team via role-based alerts and automated workflows
- Integrate with Salesforce, Adobe, ServiceNow, and other enterprise systems
- Analyze feedback at scale using AI pattern detection (Medallia Athena)
Named a Gartner Magic Quadrant Leader five consecutive years, Medallia is unambiguously the enterprise VoC standard. Its strength is breadth: connecting all customer signals into a single platform so enterprise CX teams have a unified view.
Medallia Pricing Reality
Medallia does not publish pricing. Based on G2, TrustRadius, and industry analysis, contracts typically:
- Start at $20,000–$50,000 per year for standard implementations
- Scale significantly with EDR (Experience Data Record) volume
- Require additional fees for consultancy, implementation, and premium modules
- Lock teams into long-term enterprise agreements with limited flexibility
Multiple G2 and Gartner Peer Insights reviews describe the pricing model as opaque and the consultancy requirements as expensive. One reviewer noted: "Very expensive to run, with Medallia's model based on maximising Medallia consultancy — even for simple things like adding new touchpoints."
What Koji Does
Koji is an AI-native customer research platform that conducts moderated interviews at scale. Rather than collecting survey ratings, Koji runs genuine conversations:
- AI voice interviews over phone or web — no scheduling, no human moderator required
- AI text interviews with interactive widgets for scale and structured questions
- 6 structured question types: open-ended (with AI probing), scale (NPS/CSAT), single choice, multiple choice, ranking, and yes/no — all in a single study
- Automatic thematic analysis that surfaces patterns across hundreds of transcripts
- One-click shareable reports that synthesize findings for stakeholders
- MCP integration and webhooks for connecting research to your existing toolchain
Koji pricing is transparent: free to start (10 credits on signup), €29/month for the Insights plan, €79/month for the Interviews plan with unlimited voice. No consultants. No minimum contracts. No six-month implementation timelines.
Feature Comparison: Koji vs Medallia
| Feature | Koji | Medallia | |---|---|---| | Qualitative depth | AI probes, follows up, asks "why" | Limited — primarily survey-based | | Voice interviews | Native AI voice interviewer | No conversational voice interviews | | Quantitative tracking | NPS, CSAT scales in structured questions | Full NPS/CSAT/CES dashboard tracking | | Time to first insight | Hours | Weeks to months | | Implementation | No-code, self-serve | Consultants, IT, and extensive training | | Pricing | Free to €79/month | $20,000–$50,000+/year | | Contract flexibility | Monthly, cancel anytime | Annual enterprise agreements | | Enterprise integrations | Webhooks, API, MCP | Salesforce, Adobe, ServiceNow, 150+ | | AI analysis | Automatic thematic analysis | Medallia Athena pattern detection | | Report generation | One-click shareable reports | Role-based dashboards and alerts | | Best for | Product teams, startups, researchers | Enterprise CX programs, large-scale VoC | | Onboarding time | 30 minutes | 3–6 months (standard) |
Where Medallia Wins
Scale and enterprise integration. If you need to capture feedback from 10,000 customers per month across 50 touchpoints, route alerts to 300 regional managers, and pipe insights automatically into Salesforce CRM — Medallia is built for exactly that use case.
Longitudinal trend tracking. Medallia excels at tracking NPS trends over time, correlating CX scores with churn rates, and building executive dashboards that board members can trust for quarterly business reviews.
Regulatory compliance. Medallia holds enterprise-grade security certifications (SOC 2, ISO 27001, GDPR compliance) that large regulated industries require before onboarding any platform.
Program management. For CX teams managing multiple business units, geographies, and customer segments simultaneously, Medallia's workflow routing and role-based access controls are genuinely powerful.
Where Medallia Falls Short — And Koji Fills the Gap
1. Medallia Tells You What But Not Why
This is the core limitation of survey-based VoC. A 6.2 NPS score tells you that customers are not happy. It does not tell you whether the frustration is with your pricing, your onboarding, your support quality, or a competitor's new feature that is pulling them away.
Medallia's survey methodology collects ratings — not reasons. Without qualitative context, product teams are left guessing at root causes and building roadmaps based on assumptions.
Koji's approach: Every open-ended question triggers AI follow-up probing. When a customer says "the onboarding was frustrating," Koji's AI asks what specifically frustrated them, what they expected instead, and how it affected their decision to stay. The output is not just a score — it is a complete understanding of the customer experience behind the number.
2. Medallia's Implementation Is a Project, Not a Product
Common Medallia implementation timelines run 3–6 months for standard setups. Larger enterprise deployments can take a year or more. During that window, your team is making product and positioning decisions based on incomplete information.
Koji's approach: Launch a study in 30 minutes. Import your participant list, configure your questions using any of the 6 structured question types, and share a link. The AI starts conducting interviews immediately and results populate your dashboard in real time.
3. Every Change Requires Consultants
Multiple Medallia users note that even minor changes — adding a new survey touchpoint, adjusting question logic, modifying a workflow — often require involving Medallia's professional services team or internal technical resources.
Koji's approach: Fully self-serve from day one. Product managers, founders, and UX researchers configure and launch studies without IT involvement. The AI interviewer behavior is customizable through plain-English settings.
4. The Price Excludes Everyone But Enterprise
The $20,000+ annual minimum makes Medallia inaccessible for most product teams, startups, and mid-market companies that do not need an enterprise-wide CX program. Most teams need a targeted research tool they can use when specific questions arise — not a program-scale contract with a six-month runway.
Koji's approach: Pay for what you use. At €29/month for text interviews and €79/month for unlimited voice, teams can run targeted research exactly when they need it, then scale back when they do not.
Koji and Medallia Are Often Complementary
The most sophisticated enterprise research programs use both tools:
- Medallia tracks program-scale NPS and CSAT trends across every customer touchpoint
- Koji explains why the scores are moving when they do
When your Medallia dashboard shows NPS dropping 8 points in Q3, you run a Koji study to interview 25 customers and surface the root cause. Medallia tells you what changed. Koji tells you why — and what to do about it.
How Koji Structures What Medallia Cannot
Koji's structured question system supports 6 question types in a single study:
- Open-ended — qualitative probing with AI follow-up on every response
- Scale — NPS (0–10), CSAT (1–5), or any custom numeric range
- Single choice — one-option selection with frequency bar chart visualization
- Multiple choice — multi-select with stacked chart output in reports
- Ranking — drag-to-rank with average position analytics
- Yes/No — binary questions with donut chart visualization
This means a single Koji study can start with "On a scale of 0–10, how likely are you to recommend us?" (scale question), follow up with "What is the main reason for that score?" (open-ended with AI probing for root causes), and close with "Which alternatives have you considered?" (multiple choice for competitive intelligence). The output is not a dashboard of scores — it is a complete picture of where you stand and exactly why.
Who Should Choose Koji
Choose Koji if you are:
- A product team needing to understand why users behave a certain way — not just how many
- Running customer discovery, churn interviews, or win/loss research on a defined cadence
- A startup or growth-stage company that cannot justify a $50,000 enterprise contract
- A UX researcher who needs moderated interview depth at survey-level scale
- Any team that needs answers in hours, not quarters
Who Should Choose Medallia
Choose Medallia if you are:
- A Fortune 1000 enterprise with a dedicated CX team and multi-year VoC program
- Managing feedback collection across 50+ customer touchpoints simultaneously
- Requiring deep native integrations with Salesforce, Adobe, or ServiceNow
- Tracking NPS and CSAT at program scale with hundreds of regional managers
- Subject to enterprise compliance requirements that mandate specific certifications
The Bottom Line
Medallia is best-in-class for what it does: measuring customer experience at enterprise scale across every touchpoint. For that specific use case, the investment is justified.
But for the majority of product teams, researchers, and customer-facing professionals who need to understand their customers — not just measure them — Medallia is overpriced, over-engineered, and too slow to be useful in a fast-moving product environment.
Koji delivers AI-moderated interview depth in hours. No consultants. No six-month timelines. No $50,000 contracts. Just the qualitative understanding your team actually needs to make better product decisions.
Try Koji Free
See why product teams at startups and growth-stage companies choose Koji over legacy VoC platforms. Start for free at withkoji.com — 10 credits included, no credit card required. Launch your first AI-moderated interview study in 30 minutes.