EvaluAgent Pricing, Reviews, Pros and Cons: An Honest Breakdown
"From £20/user/month" doesn't tell you much when you're staffing 75 agents. Here's the full picture on what EvaluAgent actually costs, what users think after living with it for months, and whether it's the right pick for your team.
30-Second Verdict
EvaluAgent is a strong fit for mid-market contact centers running 50-500 agents that want blended AI + human QA with coaching baked in. It carries a 4.5/5 on G2 from 425 reviews and a 4.7/5 on Capterra. Typical annual spend lands around $22,000 based on Vendr benchmarks, with a ceiling near $74,000 for larger deployments.
Here's the thing: 75% of organizations believe QA improves CSAT, yet most teams overspend on the scoring engine and underinvest in the scorecards themselves. EvaluAgent is one of the few platforms where the coaching layer is strong enough to close that gap. Auto QA is table stakes in 2026 - every tool on this list does it. The differentiator is setup methodology, and EvaluAgent's coaching loop gives you a real edge there.
If you're fleeing Playvox after the NICE acquisition, EvaluAgent is one of the most direct replacements on the market right now. Under 25 agents? Skip to Scorebuddy.
Pricing Breakdown
EvaluAgent sells two modules, each priced per user per month:
| Module | Starting Price | What's Included |
|---|---|---|
| Auto-QA & Improvement | From £20/user/mo | Transcription, scorecards, gamification, LMS, calibration |
| Conversation Intelligence | From £40/user/mo | Sentiment, xNPS, audio metrics, auto summaries, intent |
Those are starting prices - the pricing page calls them "ballpark" and pushes you toward a tailored quote. Capterra lists a $15/user/month figure, but that's likely an older or currency-converted number. Anchor on the official £20/£40.
The list price matters less than the annual number. Vendr's transaction data from 5+ completed deals puts the average contract at $22,000/year, with larger deployments reaching $74,000. Expect a minimum of 10-25 seats, and annual billing shaves 10-20% off monthly rates. Budget $0-$10K for implementation depending on complexity - standard for enterprise QA platforms.
Ratings at a Glance
| Platform | Rating | Reviews |
|---|---|---|
| G2 | 4.5 / 5 | 425 |
| Capterra | 4.7 / 5 | 20 |
Free trial available. G2's larger sample gives the more reliable picture.
Pros and Cons
What Users Love
Ease of use dominates feedback - 117 mentions on G2, the single most cited positive. We've evaluated dozens of QA platforms, and EvaluAgent's scorecard builder is genuinely faster than most competitors'. Once you're past setup, daily workflows feel intuitive.
Feedback and performance tracking get strong marks too, with 66 mentions for "helpful" and 62 for "improvement." Managers love the coaching loop. Visual dashboards, time saved on reporting, and support quality come up repeatedly across both review sites.
What Frustrates Users
Missing features top the complaints list with 22 G2 mentions. Feature requests pile up faster than the roadmap moves - one reviewer flagged the lack of in-platform messaging as a basic gap.
Layout quirks follow at 20 mentions. Notes and details get collapsed or hidden after writing. Small things, but they erode trust in the interface over time.
Setup learning curve drew 18 mentions. One reviewer put it bluntly: "initial set up is not as straightforward as the day to day use - if you get the initial structure wrong you can easily get stuck." That tracks with what we've seen across the category. And reporting rigidity is another recurring pain point - users want custom date ranges and more granular agent-level views. The consensus on r/sales and related subreddits is that keyword-trigger-based scoring remains a pain point for any AI QA tool, EvaluAgent included. Serious upfront investment in scorecard methodology isn't optional.
EvaluAgent scores conversations - but bad contact data creates bad conversations. If your agents are reaching voicemail on disconnected numbers or bouncing emails, your QA metrics suffer before anyone says a word. Prospeo delivers 98% email accuracy and 125M+ verified mobiles on a 7-day refresh cycle, so every conversation your QA tool scores is one worth having.
Stop scoring conversations that never should have happened.
Key Features by Module
| Auto-QA & Improvement | Conversation Intelligence |
|---|---|
| Call transcription | Sentiment analysis |
| Auto, manual, or blended QA | xNPS prediction |
| Customizable AI scorecards | Audio metrics (cross-talk, silence detection) |
| Calibration & agent appeals | Auto summaries |
| Coaching plans & 1:1 workflows | Intent detection |
| Gamification & leaderboards | Configurable insight topics |
| Built-in LMS with lessons and quizzes | AI search |
EvaluAgent integrates with Zendesk, Salesforce, Five9, Talkdesk, Genesys, and RingCentral, and supports BI exports to Power BI, Tableau, Looker, and Metabase. It holds ISO/IEC 27001:2022 and SOC 2 Type I compliance, with 24-hour breach notification under UK/EU GDPR.
How EvaluAgent Compares
| Tool | Pricing Signal | AI Scoring | Best For |
|---|---|---|---|
| EvaluAgent | ~$22K/yr avg | 100% interactions | Mid-market teams (50-500 agents) |
| MaestroQA | ~$1,325/agent/yr + LLM add-on $15-25K/yr | Yes, LLM-based | Deep analytics (enterprise) |
| Scorebuddy | ~$15-25/user/mo (14-day trial) | 500-1,000 AI scores/mo | Budget pilots |
| Calabrio ONE | $295/user/mo | Yes | Enterprise full-suite (WFM + QA) |
| Playvox | Legacy pricing - expect migration incentives | Text-based interactions only | Consider alternatives for voice + redaction |
MaestroQA is the most common alternative G2 users cite. At 75 agents on Enterprise Plus, expect roughly $1,325/agent/year before negotiation, with LLM Credits for advanced AI scoring running $15,000-$25,000 annually. More expensive than EvaluAgent, deeper on analytics. If your team lives in dashboards and needs granular root-cause analysis across thousands of tickets, MaestroQA earns the premium.
Scorebuddy packages into Foundation, Accelerate, and Elite tiers. Accelerate includes 500 monthly AI scores; Elite bumps to 1,000 plus voice transcription and SSO. Pricing isn't public, but market positioning suggests a range comparable to EvaluAgent's lower end. The 14-day free trial is a genuine advantage - use it.
Calabrio ONE at $295/user/month is the enterprise play - full workforce management plus QA in one platform. Overkill for most mid-market teams, but if you need WFM bundled, it's the option.
Playvox: EvaluAgent's own comparison page targets teams considering a switch following Playvox's acquisition by NICE, positioning itself as stronger on multi-channel analysis, xNPS-style predictive metrics, and automatic redaction.
The Upstream Problem Nobody Talks About
QA tools score conversations. But bad contact data creates bad conversations in the first place. If your agents are calling wrong numbers or emailing invalid addresses, you're generating the poor interactions that QA then flags - and your scores tank before anyone even opens their mouth. Prospeo verifies emails at 98% accuracy on a 7-day refresh cycle, which is the upstream fix that makes your QA investment actually pay off.
If you're cleaning lists before outreach, pair QA improvements with data enrichment and a tighter lead generation workflow so your team spends time on real conversations.
You're spending $22K+/year on QA tooling to improve CSAT. But CSAT starts with reaching the right person at a valid number. Prospeo's verified contact data at $0.01/email means your agents connect with real buyers - giving EvaluAgent better conversations to score and your coaching loop actual wins to build on.
Better data in, better QA scores out. It's that simple.
Is EvaluAgent Worth It?
For 50-500 agent contact centers, EvaluAgent hits a sweet spot: capable enough for blended AI + human QA, affordable enough that it won't blow your budget the way Calabrio ONE or a maxed-out MaestroQA deployment will. The coaching and gamification layer is genuinely differentiated - most competitors bolt that on as an afterthought.
Skip it if you're under 25 agents. The per-seat cost stacks up fast, and Scorebuddy's Foundation tier gives you more value at that scale.
Let's be honest: we've seen teams get more out of a cheaper QA platform with well-designed scorecards than teams spending $74K/year with sloppy evaluation criteria. Pilot EvaluAgent, MaestroQA, and Scorebuddy for two weeks each. The one that fits your QA workflow - not the one with the best demo - is the one that'll stick.
If you want to pressure-test the ROI, map QA outcomes to pipeline health and your sales conversion rate so coaching improvements show up in revenue, not just dashboards.
FAQ
How much does EvaluAgent cost per year?
Typical annual contracts land around $22,000/year based on Vendr transaction data from 5+ deals, with larger deployments reaching $74,000. Per-seat pricing starts at £20/user/month for Auto-QA and £40/user/month for Conversation Intelligence, with annual billing discounts of 10-20%.
Is EvaluAgent good for small teams?
It works best for teams of 50-500 agents. Below 25 agents, the per-seat cost becomes hard to justify - Scorebuddy's Foundation tier or a lighter tool like Klaus offers better value at that scale without sacrificing core AI scoring.
What are the biggest complaints about EvaluAgent?
The top three frustrations on G2 are missing features (22 mentions), layout quirks that hide notes after saving (20 mentions), and a steep initial setup curve (18 mentions). Reporting flexibility - especially custom date ranges - is another recurring pain point.
How does EvaluAgent compare to MaestroQA?
MaestroQA costs roughly $1,325/agent/year plus $15,000-$25,000 annually for LLM-based scoring credits, making it significantly pricier. It offers deeper analytics and custom dashboards. EvaluAgent wins on coaching workflows, gamification, and overall value for mid-market teams under 500 agents.