You’re not here to debate whether QA matters. You already know it does.
What you’re trying to fix is the gap between what your agents are doing and what your current process actually captures. Manual scorecards miss too much. Coaching happens too late. Reporting is scattered across spreadsheets. And even when you track KPIs like CSAT and AHT, you still don’t have a clear view into what’s working and what’s not, in real conversations.
You’re comparing the best contact center quality assurance software to find something better. Something that can automate what’s manual, surface coaching moments faster, and give your team the insights they need to improve, not just report.
I’ve compared the top platforms in this space, pulled insights from G2 reviews, and spoken with QA leads and CX managers who rely on these tools every day. If you’re looking for a tool that plugs into your existing stack, scales with your team, and actually moves the needle on performance, this guide will help you find it.
Here’s how the top contact center quality assurance platforms stack up based on what matters most: review speed, coaching effectiveness, and how well they fit into your existing workflow.
5 best contact center quality assurance software for 2025: My top picks
Software
Best for
Standout feature
Salesforce Service Cloud
Enterprise teams already using Salesforce for CX
Seamless QA integration with case management and CRM workflows
Playvox Quality Management
Mid-market teams looking for structured, coachable QA
Integrated coaching tied directly to QA scores
Convin.ai
Enterprise teams prioritizing AI automation at scale
AI-driven scoring with sentiment, tone, and intent analysis
Talkdesk
Mid-market and large teams looking for a QA tool with good quality management features
AI-powered quality management suite (QM Assist), which automatically scores and analyzes omnichannel interactions
Scorebuddy
Teams that want QA, coaching, and training in one platform
Built-in LMS for agent training alongside customizable scorecards
*These contact center quality assurance software are top-rated in their category, according to G2 Grid Reports. All offer custom pricing and a demo on request.
5 best contact center quality assurance software systems I recommend
Contact center QA software isn’t just for scoring calls. It’s for scaling quality across every channel your agents touch, voice, chat, email, you name it.
One QA leader put it best when she told me, “We weren’t lacking data; we were lacking structure.” That’s what the right tool gives you — not just insight into a few random interactions but full visibility into how your team is showing up across thousands of conversations.
Consider this: only 16% of contact centers analyze 100% of customer interactions, and 67% still rely on manual processes for QA workflows. The contrast is stark: those adopting conversation intelligence and automations in QA process are 10× more likely to feel “very prepared” for the future, and 90% report improvements in agent performance programs.
It’s no wonder the QA software market is expanding fast. The global contact center quality assurance software market is projected to hit $2.25 billion in 2025 and grow to $4.09 billion by 2032. That growth reflects a clear shift: teams are done guessing. They want scalable, insight-driven QA that helps them improve, not just monitor.
How did I find and evaluate the best contact center quality assurance software?
I used G2’s Grid Report to create a shortlist of top contact center QA platforms based on user satisfaction and market presence.
I used AI to analyze over 1,000 G2 reviews, focusing on patterns around automation, ease of use, integration with CRMs and helpdesks, and the quality of post-sale support. This helped me quickly identify which platforms consistently deliver value and which ones tend to fall short in real-world use.
Since I haven’t used these platforms directly, I leaned on expert interviews to ground my analysis and cross-validated their feedback with what I saw in verified G2 reviews. The screenshots featured in this article come from G2 vendor listings and publicly available product documentation.
What makes the best contact center quality assurance software: My criteria
After reviewing G2 data and speaking with QA managers across industries, I noticed the same priorities kept coming up. Here’s what I looked for when evaluating the best contact center QA platforms:
- Omnichannel interaction coverage: Quality doesn’t stop at phone support. I prioritized platforms that support voice, chat, email, and asynchronous messaging, with the ability to pull in transcripts or recordings from platforms like Zendesk, Salesforce, Intercom, and custom CRMs via API.
- AI-powered auto-scoring: Reviewing 100% of interactions manually isn’t scalable. The top tools use machine learning models to score calls and chats based on sentiment, keyword detection, script adherence, and even silence time. Some offer customizable scoring logic or model training options for more accurate QA in high-complexity environments.
- Integrated coaching workflows: Flagging an issue is only step one. I looked for platforms that link QA results to agent coaching. Think in-line annotations, agent dashboards, feedback acknowledgments, and performance trend tracking. Bonus if coaching triggers are built into workflows automatically.
- Calibration and scoring logic transparency: Consistency in scoring is non-negotiable, especially for teams with multiple QA analysts. I gave extra points to platforms with calibration modules, scoring side-by-side views, audit trails, and customizable rubrics with weighted categories.
- Analytics and reporting: Surface-level QA reports don’t cut it. I looked for tools that offer customizable dashboards, QA trend analysis over time, team benchmarks, and filtering by tags, QA reasons, or categories—ideally exportable to BI tools or accessible via API.
- User experience for QA, managers, and agents: A tool that’s technically powerful but clunky to use slows teams down. I favored platforms with intuitive UI, keyboard-based workflows, and role-based views for analysts, supervisors, and agents.
- Out-of-the-box and custom integrations: QA doesn’t live in a vacuum. Native integrations with CRMs, contact center software, CCaaS platforms, WFM systems, and analytics tools are critical. I also looked for webhook support, flexible APIs, and pre-built connectors for platforms like Salesforce, NICE, Talkdesk, and Five9.
- Enterprise-grade scalability and controls: For larger orgs or fast-growing teams, scalability matters. I prioritized platforms with support for SSO, granular permissions, multi-team configurations, bulk QA forms, and region-specific data storage options for compliance.
Based on everything I’ve learned, I’ve narrowed it down to the five best contact center quality assurance platforms available right now. Each one solves a different problem: some are built for speed and simplicity, others for deep integrations or advanced coaching workflows. As you compare, focus on what matters most to your team: whether that’s usability, automation, scalability, or how well it fits into your existing stack.
The list below contains genuine user reviews from the contact center quality assurance software category. To be included in this category, a solution must:
- Facilitate the creation and customization of scorecards for evaluating customer interactions
- Offer tools for delivering personalized feedback or coaching sessions to agents
- Provide analytics that give insight into team and agent performance
- Integrate with other customer service or CRM software
- Be specifically intended for use within a call center environment
*This data was pulled from G2 in 2025. Some reviews may have been edited for clarity.
1. Salesforce Service Cloud: Best for enterprise-grade QA built into your broader CX ecosystem
If you work in sales, marketing, or customer service, I believe you need no introduction to Salesforce. It’s everywhere and for good reason. When it comes to QA, Salesforce Service Cloud isn’t a standalone tool. It’s part of the broader Salesforce ecosystem, which includes CRM, Marketing Cloud, and automation tools that many enterprise teams already rely on to manage the full customer experience.
In my opinion, that’s exactly what makes it so effective. QA doesn’t live in a separate silo here; it’s embedded directly into the workflows your agents already use: case histories, automations, customer records, and analytics. That level of native integration is tough to match, and it’s a big part of why so many teams stick with Service Cloud once it’s in place.
From what I’ve seen in the G2 Data, it’s especially popular with enterprise (45%) and mid-market (42%) teams, the kinds of organizations that need QA to scale alongside complex workflows, layered permissions, and multi-channel support strategies. It also shows up most in IT services, financial services, and software companies, where compliance, data visibility, and customer satisfaction are tightly connected.
It’s worth noting that Salesforce Service Cloud isn’t a dedicated QA platform in the traditional sense. It doesn’t come with out-of-the-box QA scorecards or specialized calibration tools. But in many enterprise environments, it doesn’t need to.
With Salesforce Service Cloud’s Omni-Channel features, cases from email, chat, voice, and messaging can be routed to agents or queues based on defined skills, availability, and workload, giving teams a more complete picture of multi-channel interactions.
Agents typically work inside the console, where built-in tools like macros, quick text, and flows help cut down on clicks and context switching — a benefit many G2 reviewers link to faster handling and more consistent responses. The platform’s knowledge management and AI-powered tools automatically suggest relevant articles while agents work, which can reduce search time and improve consistency, particularly for newer staff.
I also found that Salesforce Contact Center has a set of productivity tools that go far beyond basic support functions for service agents. Supervisor visibility and coaching tools include live monitoring, listen-in/barge-in for calls, real-time queue dashboards, and Einstein Conversation Insights. Managers can spot issues, intervene on the fly, and coach agents using hard data rather than anecdote.
You get access to interaction histories, case timelines, performance dashboards, and automation tools that make it easier to spot patterns and step in where needed.
On the feature side, dashboards, compliance, and feedback workflows are among the highest rated on G2. Dashboards let you see at a glance which queues or agents need attention; compliance features like access controls and audit logging help meet regulatory needs; and feedback workflows push survey responses and customer comments straight into case records with no separate tool required. It’s no surprise to me, given the platform’s strength in structured processes and visibility.
Setup is designed to take full advantage of Salesforce’s flexibility, which some reviewers noted can be time-consuming for teams without dedicated admins or prior configuration experience. This upfront effort allows organizations to tailor the ecosystem closely to their needs.
The platform offers a wide breadth of features, giving teams the flexibility to address a variety of needs in one place. Some reviewers noted that without the right guardrails, this richness can feel overwhelming for smaller teams or new users, though it ensures the system can scale as organizations grow.
Of course, there’s the cost factor. While many say the investment is worth it for what you get, it could be on the higher end for businesses with limited budgets, according to several G2 reviews I read.
Still, the consensus is clear: once it’s up and running, it’s incredibly powerful. With a 4.4 average G2 rating and 99% of users giving it 4 or 5 stars, the value it delivers, especially for enterprise and mid-market teams, clearly outweighs the learning curve and price tag for most users.
In my view, Salesforce is ideal for enterprise-grade support teams that want a connected, end-to-end approach to QA without fragmenting their CX workflows.
And if you already use Salesforce for CRM or case management, using the same system for QA just makes operational sense.
What I like about Salesforce Service Cloud:
- According to the reviews I looked at, one of the biggest strengths is how everything lives in one place: QA, case history, agent actions, and customer data. That kind of integration really streamlines coaching and oversight.
- Many reviewers also highlight how customizable the platform is. From automation rules to dashboards and workflows, it’s built to adapt to complex support environments.
What G2 users like about Salesforce Service Cloud:
“Salesforce Service Cloud stands out for its powerful case management and automation capabilities. The platform enables seamless omnichannel support—email, chat, phone, and social media—all from a single interface. I especially appreciate the ability to configure workflows, macros, and assignment rules, which significantly reduce response times and improve agent productivity. The integration with knowledge base articles and AI-driven suggestions (Einstein) enhances self-service and ensures faster resolutions.”
– Salesforce Service Cloud Review, Vikrant Y.
What I dislike about Salesforce Service Cloud:
- Based on my research, setup can be a real hurdle, especially for teams without a dedicated Salesforce admin. But once it’s configured, many reviewers say it’s incredibly powerful and flexible.
- I saw some feedback about feature overload, particularly for smaller teams, though larger orgs tend to see that depth as a major advantage.
What G2 users dislike about Salesforce Service Cloud:
“There are always the good and the bad sides of every tool we use. In Salesforce, it has a lot of features to navigate; moreover, it is not user-friendly if it’s the first time you’re using it. It’s quiet complex to use it especially if you’re not familiar on the on it. It may affect the quality and quantity of how the users use it.“
– Salesforce Service Cloud Review, Jamespogi S.
2. Playvox Quality Management: Best for fast, user-friendly QA built for mid-market teams
Playvox was one of the QA tools that came up in many of my conversations with multiple QA leads and contact center teams. It was also one of the easiest tools for me to assess because the theme in the reviews is loud and clear: people genuinely like using it.
Based on everything I read, it’s one of the most user-friendly QA platforms on the market right now. Playvox scores incredibly high on ease of use (96%) and ease of setup (95%), which is rare in QA platforms that also offer this level of functionality. The interface is clean, performance evaluations are easy to run, and most reviewers say the tool is intuitive, especially for agents and frontline managers. It’s designed for people who want to get in, do the work, and see clear results without getting lost in configuration menus.
In my research, I noticed Playvox stands out for how well it balances simplicity with structure. The highest-rated features on G2 are feedback, evaluation, and compliance, which tells me it’s doing the core QA job well. Playvox allows teams to build and use customizable QA scorecards, evaluate interactions across channels such as calls, chat, email, and social media, and route coaching feedback through the same workflow.
Its QA forms can include compliance-indicators so that supervisors can track evaluation results, coaching actions, and team performance from a central place. In many setups, that means much of the QA process, from evaluating an interaction, sharing feedback, to monitoring compliance metrics, can be done inside Playvox, reducing the need to switch tools
With AI-assisted evaluations, QA analysts can review more interactions with less manual effort and do it consistently. Team leads can coach with context. What I also like is how flexible the QA setup is. You can build out scorecards that match your industry or workflow without needing a bunch of backend help.
Agents aren’t left out either. I saw several reviewers call out how much they appreciated being able to review their own scores, revisit feedback, and take action on it. That kind of visibility makes QA feel more collaborative, not punitive.
Another big plus is how easily Playvox plugs into the systems you’re already using. It integrates with help desk platforms like Zendesk and Salesforce, which means your QA process stays connected to the broader support workflow.
It’s no surprise that Playvox is most popular among mid-market teams (58%), especially in industries like consumer services, banking, and financial services, where evaluation volume is high and speed matters.
That said, a few common complaints did come up. A handful of G2 users mentioned occasional slow loading times or minor latency, especially when navigating between evaluation modules or loading large data sets. I also saw feedback on G2 around limited flexibility in customizing how certain metrics are displayed; some users wanted more control over evaluation filters or dashboard views.
But most of these comments were few and far between, and many were paired with positive notes about the product’s responsiveness and how easy it is to get help from the support team. From what I gathered, these are more quality-of-life requests than dealbreakers, especially considering how often users describe the platform as fast, intuitive, and improving with every update.
With a 4.8 average rating on G2 and 99% of users giving it 4 or 5 stars, it’s clear that any limitations are far outweighed by how well it performs for day-to-day QA needs. If you’re a mid-sized support team looking for a fast, intuitive way to scale quality assurance without overcomplicating your tech stack, Playvox should be on your shortlist.
What I like about Playvox Quality Management:
- The platform is incredibly intuitive. According to G2 reviews, users consistently praise how easy it is to navigate and set up, even first-time QA users quickly get value out of it.
- I like how well it integrates with tools like Zendesk and Salesforce. Several G2 reviewers mentioned how seamless the setup is, which helps keep QA closely tied to support workflows.
What G2 users like about Playvox Quality Management:
“I love the UI of the Playvox the most, and for QA, it has a lot of options, starting from workload management – creating a customised scoreboard as per our needs. It makes things very easy. Also, about the Calibration part, where extracting the reports is so easy and convenient for everyone.
Having said that, I have been using the tool for more than 4 Years. Still, I see more options that I can explore.”
– Playvox Quality Management Review, Sharath K.
What I dislike about Playvox Quality Management:
- While the user experience is generally praised, I saw a few G2 reviews mention occasional slow loading or lag when switching between pages, but most still rated it highly for ease of use and responsiveness.
- Some users said they wanted more flexibility in customizing dashboard views or filtering QA data. That said, G2 feedback also points to a responsive product team that regularly ships updates based on user input.
What G2 users dislike about Playvox Quality Management:
“Well, I would say everything is good apart from the latency issue in Playvox; sometimes it takes a lot of time to load and show the filter options in the evaluations option.”
– Playvox Quality Management Review, Ali R.
When to expect ROI from contact center QA software: What G2 data shows
Based on G2 data, most teams see a return on their investment from the tool in just 14 months after implementing contact center QA software. That includes time spent on setup, agent onboarding, and fine-tuning evaluation workflows.
If you’re wondering how long it takes to go live, what real users say about value for money, or which features deliver the strongest ROI, you can dig into the full G2 Grid Report.
3. Convin.ai: Best for AI-powered QA automation at enterprise scale
Convin.ai leans hard into what modern contact centers need most: speed, visibility, and scale. And based on the reviews I’ve read, it delivers. If your QA process still relies on random sampling and manual audits, Convin feels like a leap forward. It’s built around AI-first automation, not as a bolt-on, but as the foundation for how evaluations happen across calls, chats, and emails.
From what I’ve gathered, the platform’s strength lies in how it applies AI across the full QA lifecycle. You can create custom scorecards, run evaluations at scale, and track individual agent performance while keeping human oversight where it counts. I also like how it blends AI scoring with manual audits, so you’re not forced to give up control, but you don’t have to burn hours manually grading either.
Convin also stands out for its deep analytics and reporting capabilities. The platform includes mobile performance dashboards that provide real-time insights, especially helpful for remote or on-the-go management.
You’re not just tracking QA scores — you’re getting structured dashboards that break down agent performance, call quality, compliance trends, and coaching effectiveness at both team and individual levels. That kind of visibility is critical for enterprise teams trying to scale insights, not just oversight.
And users highlight this. According to G2 review data, features like dashboards, reports, and integrations consistently rank among the highest-rated, which makes sense given how central they are to managing performance at scale.
Even its lowest-rated features, like calibration, evaluation, and training, still score above the category average, sitting comfortably at 93–94% satisfaction. It supports automated QA (sampling and auditing), customizable evaluation/audit templates, and a built-in LMS, so training and feedback tie back to measurable performance metrics. Calibration is available, though how rigorously it’s applied depends on each team’s usage and scale.
That tells me the platform doesn’t just spike in one area. It delivers consistently across the QA workflow. And when you pair that with strong marks for ease of use and setup, you get a tool that performs well both in theory and in day-to-day execution.
That said, there were a handful of minor critiques that showed up in the G2 reviews I looked at. A few users mentioned that AI scoring occasionally misses context as it auto-transcribes, especially in more nuanced or scenario-based conversations. That said, most teams still appreciated having the option to layer in manual reviews to balance it out.
Auditing workflows generally get positive feedback, but I did see a few G2 reviews mention areas where things could be smoother. Some users noted occasional issues with audit visibility, like not being able to view completed audits, missing audit counts, or delays between what shows up in the platform versus email reports. A couple of reviewers also mentioned that in rare cases, audits didn’t load properly or caused the page to hang.
That said, these issues weren’t widespread, and most users still described the core QA functionality as solid. From what I gathered, these are less about broken features and more about UI polish and workflow clarity, which the Convin team seems to be actively improving. And given how much value users place on the platform’s speed, automation, and reporting, these bumps don’t appear to hold most teams back.
With a 4.7 G2 rating and 97% of users giving it 4 or 5 stars, Convin is clearly seen as reliable contact center QA software by most teams.
What I like about Convin.ai:
- What impressed me most and shows up often in G2 reviews is how much of the QA process Convin automates. From AI-based scoring to call flagging and instant coaching prompts, it takes repetitive work off analysts’ plates without losing accuracy or control.
- I also like the visibility it gives managers. Several users specifically mentioned how helpful the performance dashboards and reporting breakdowns are for tracking agent trends, CSAT insights, and compliance, all in one place.
What G2 users like about Convin.ai:
“Best features of Convin include detailed call insights, customisable scorecard, dashboards, monitoring, user-friendly interface, actionable reports, all driven by AI.”
– Convin.ai Review, Nikunj M.
What I dislike about Convin.ai:
- I came across a few G2 reviews mentioning audit visibility issues, things like audit counts not matching or completed reviews being a little hard to locate. It didn’t seem to block users entirely, but it added a minor friction to what’s otherwise a smooth QA flow.
- There were also occasional mentions of AI accuracy gaps, especially in nuanced scenarios where intent matters more than keywords. That said, most reviewers still appreciated having the option to pair AI scoring with manual evaluations for better balance.
What G2 users dislike about Convin.ai:
“Sometimes, it doesn’t catch the words said during the calls, due to which manual audits are necessary.”
– Convin.ai Review, Riya G.
4. Talkdesk: Best for quality management in mid-sized and large teams
When I think of Talkdesk, I think of a platform built for serious CX teams. It’s known for its enterprise-grade contact center tools and strong push into AI.
From what I found, Talkdesk combines AI-powered scoring with screen and voice recordings, custom scorecards, and contextual feedback tools so QA teams can evaluate conversations and link outcomes directly to coaching.
With QM Assist, managers get searchable call transcripts, sentiment indicators, keyword highlights, and automated evaluations of calls close to real time, which speeds up feedback. Talkdesk Copilot complements this by generating automatic summaries, suggesting next steps, and recommending dispositions to cut down after-call work.
Based on what I gathered, the quality management module itself is highly configurable. Teams can build custom evaluation forms with branching logic, filter by team or channel, and work with omnichannel transcripts and recordings to give managers a fuller context. For motivation and accountability, Talkdesk also includes performance tracking dashboards and gamification tools that make feedback visible and actionable, helping agents see their progress.
But what makes Talkdesk stand out, in my opinion, is because quality insights don’t sit in a silo; they feed directly into workforce engagement, collaboration, and CX analytics. That integration lets teams use QA data to shape training priorities, monitor agent progress, and improve processes, elevating QA from a scorekeeping task to a genuine performance engine.
According to G2 Data, the most highly rated features are dashboards, compliance, and evaluation. When you add in advanced features like Talkdesk Copilot, omnichannel interaction recording, and a full suite of CX analytics and WEM tools we looked at earlier, it’s easy to see why teams looking for a connected, modern QA experience choose Talkdesk.
But like any robust platform, a few G2 reviewers mentioned that setup and system navigation can feel a bit complex, especially for admins managing deeper configurations. That said, Talkdesk does a solid job of providing demos, support docs, courses, and FAQs to help teams get up to speed. Once you’re familiar with the platform, most users say it becomes a reliable part of their day-to-day workflows.
Support is another area where I saw varied feedback. Some users had great experiences, while others found response times slower during urgent issues, so it can be a bit hit or miss.
Still, once the system is configured properly, most teams feel the value outweighs the bumps. The platform’s breadth makes it especially appealing for organizations looking to consolidate QA with broader CX and workforce management efforts.
Overall, the sentiment is clear: Talkdesk is a strong performer. With a 4.4 G2 rating and 96% of users giving it 4 or 5 stars, it’s especially popular with mid-market teams (58%), though it also serves enterprise (22%) and small businesses (20%) well. It sees the most traction in consumer services, education, telecom, and IT, where complex omnichannel engagement and consistent QA execution are critical.
For organizations looking to turn quality data into actionable CX improvements, Talkdesk delivers one of the most comprehensive solutions on the market today, in my view.
What I like about Talkdesk:
- I really like how it handles end-to-end call management. From voice and screen recording to omnichannel engagement and analytics, it gives you a full view of every customer interaction. Several G2 users mentioned how helpful it is to track tone, intent, and agent behavior all in one place.
- I also found that users appreciate how QA ties into coaching, performance tracking, and even gamification. It’s not just about evaluations, but actual improvement.
What G2 users like about Talkdesk:
“According to G2 data, the most highly rated features are dashboards, compliance, and evaluation. When you add in advanced features like Talkdesk Copilot, omnichannel interaction recording, and a full suite of CX analytics and WEM tools, it’s easy to see why teams looking for a connected, modern QA experience choose Talkdesk.”
– Talkdesk Review, Kriyaan N.
What I dislike about Talkdesk:
- A few G2 reviewers mentioned the initial setup can feel a bit complex, especially for admins managing deeper configurations, but Talkdesk offers a good amount of helpful content to help teams get up to speed.
- I also saw mixed feedback on G2 on support. Some users had quick resolutions, while others felt response times during urgent issues could be improved.
What G2 users dislike about Talkdesk:
“Although Talkdesk is a robust platform, it has some limitations, such as difficulties in customizing reports and more complex workflows without technical support, as well as a learning curve for advanced features. There can also be occasional instabilities, complete dependence on the internet, and, in some cases, slow technical support.”
– Talkdesk Review, Bindu J.
5. Scorebuddy: Best for teams that want QA, coaching, and training tightly integrated
Scorebuddy checks all the boxes you’d expect from a modern QA platform: AI-driven scoring, coaching, training, and analytics. But what stood out to me is how tightly integrated those features actually are. It’s built not just to automate QA, but to support the entire performance management cycle, from evaluations to coaching to personalized training, with minimal friction.
You can evaluate upto 100% of conversations with automated workflows, surface coaching opportunities based on performance trends, and push agents personalized dashboards and feedback loops they can actually act on, along with a built-in LMS.
The platform’s analytics go beyond simple scores. Trend reports help QA managers see where interactions or agents are underperforming, whether issues are systemic, and how coaching impacts results over time.
There’s also a built-in CSAT/NPS module and sentiment tracking that ties customer feedback directly into QA data, so teams can link what customers are saying to agent performance in one place. Many reviewers on G2 also highlight Scorebuddy’s support and onboarding team for making setup and rollout smoother.
And based on the G2 Data I saw, the features that stand out most are evaluation, compliance, and feedback, the three pillars of any strong QA program. Scorebuddy works especially well here, enabling teams to build structured scorecards, enforce standards, and deliver feedback at scale.
Scorebuddy is especially popular with mid-market teams (58%), but it also shows up in small (23%) and enterprise (19%) organizations, which speaks to how adaptable it is. It’s also used heavily across consumer services, financial services, and IT/outsourcing, which makes sense considering how crucial fast, structured feedback loops are in those industries.
On G2, it scores well across the board: 93% for ease of doing business, 92% for ease of use, and strong satisfaction around evaluation, compliance, and feedback workflows.
That said, a few limitations came up in the G2 reviews I read. While the built-in dashboards work well for many teams, some users noted that custom reporting and data exports can require extra steps, especially when pulling complete QA data. Still, most users felt the core analytics were solid for day-to-day use.
Outside of reporting, a few users mentioned that some features can be slow to load, but this is something I am seeing across the board as feedback from users on QA tools and not unique to Scorebuddy alone.
Despite these minor drawbacks, Scorebuddy maintains an impressive 4.5/5 average rating on G2, with 95% of users giving it four stars or higher. In my view, it’s best for mid-market contact centers and fast-moving service teams that need structure without losing agility.
What I like about Scorebuddy:
- I really like how Scorebuddy connects the dots between QA, coaching, and training. Having an LMS built right into the platform makes it easier to act on feedback instead of bouncing between tools.
- I also saw a lot of praise for how their scoring system works: Teams can tailor evaluations to match their workflows, the scoring forms auto-populate to save time during reviews, and agents and leaders can get a granular view of a team’s performance using different filters.
What G2 users like about Cleo:
“I like how the review forms have different drop-downs/options to select from. It gives an obvious idea to the agent. For the evaluator, it is easy to add their score and write a summary.
Apart from reviewing the agents’ work, we can check their scores for any day, week, or month. I love how we can select custom dates to pull the report for any agent and evaluator.”
– Scorebuddy Review, Swathi R.
What I dislike about Scorebuddy:
- A few users on G2 mentioned that reporting can feel a bit limited. If you need highly custom views or full data exports, you might end up doing extra work outside the platform.
- I also encountered some minor UX complaints, such as filters not saving or comments disappearing mid-review. These are small things, but they add up when you’re doing QA at scale.
What G2 users like about Scorebuddy:
“Out of the box, analytics on ScoreBuddy can be limiting. If you’re looking for a robust way to report on QA stats, you’ll have to do this outside of the tool. I wish there was some way to build your own reports and not just edit templates..“
– Scorebuddy Review, Dave C.
Other best contact center quality assurance software platforms to consider
Now, there are a few more options, as mentioned below, that didn’t make it to this list but are still worth considering, in my opinion:
- Balto: Best for real-time agent guidance and in-call coaching.
- Genesys Cloud CX: Best for large-scale omnichannel contact centers with deep AI integrations.
- Five9: Best for enterprise-grade cloud contact centers with strong CRM and WEM integrations.
- EvaluAgent: Best for quality assurance teams that want built-in coaching and agent engagement tools.
- my.SQM™ Auto QA: Best for teams focused on automating QA with CSAT-driven insights.
- Hiya Connect Branded Call: Best for call identification and increasing answer rates in outbound contact centers.
- Calabrio ONE: Best for all-in-one workforce optimization with native QA and analytics.
Best contact center quality assurance software: Frequently asked questions (FAQs)
Got more questions? G2 has the answers!
Who are some of the top-rated contact center quality assurance software vendors?
According to G2 reviews and industry insights, some of the top-rated QA platforms for contact centers include Salesforce, Playvox (by NICE), Convin.ai, Scorebuddy, Talkdesk, and EvaluAgent. These tools consistently earn high marks for evaluation workflows, coaching features, and customer support.
Which QA software is best for tech and SaaS contact centers?
For tech-focused contact centers, Convin.ai and Talkdesk are standout options. Both support omnichannel evaluations, agent screen recording, and AI-driven scoring—great for fast-moving environments that need real-time insights and structured coaching.
What is the most user-friendly QA software for call centers?
Playvox and Scorebuddy are frequently praised for their intuitive interfaces, customizable scorecards, and minimal onboarding time. If you’re looking for ease of use without sacrificing functionality, these two are strong picks.
Which contact center QA tools have the best reviews?
Based on G2 data, Scorebuddy (4.5), Convin.ai (4.7), and Playvox (4.8) are among the highest-rated platforms, with 96–99% of users giving them 4 or 5 stars. Reviewers highlight automation, coaching tools, and strong support as key differentiators.
Are there affordable QA software options for smaller call centers?
Yes. EvaluAgent, my.SQM Auto QA, and Playvox are known for their flexible pricing and mid-market-friendly feature sets. They offer strong QA functionality without enterprise-level overhead.
What’s the best QA software for small businesses?
If you’re a small business with 50 or fewer employees, you’ll want a QA tool that’s easy to deploy, budget-friendly, and doesn’t require a full IT team to manage.
JustCall, CloudTalk, and Zendesk QA are top-rated for small teams, with a lightweight setup and intuitive QA workflows. Scorebuddy and EvaluAgent also stand out for combining flexibility with ease of use at a small-business scale.
Based on G2 data, these platforms have above-average adoption among small businesses and are worth exploring.
What are the best contact center QA apps for mobile integration?
If mobile access matters, AmplifAI and Balto.AI are great for real-time coaching and scoring on the go. For more advanced needs, Talkdesk and Observe.AI offer mobile-friendly QA with deep analytics and enterprise-level capabilities.
Quality assured
One thing became clear as I dug into the reviews, feature sets, and real-world feedback: the best QA tools don’t just track performance, they develop it. You don’t want agents feeling like they’re being scored for the sake of it, nor do you want them to be stuck with the scores. A great QA platform should help them grow, not just get graded.
That means real-time feedback, coaching loops, and systems that surface what’s working, not just what’s broken. If you’re still comparing tools, I’d suggest you not to get caught up in feature checklists. Focus on how the software fits into your coaching rhythm and support culture. That’s where real ROI lives: not in the scorecard, but in sharper agents, better conversations, and a stronger customer experience.
Want to take your QA program further? Explore the top-rated contact center workforce software on G2 to align scheduling, performance, and coaching with the insights your QA tools surface.
