QA every call. Not just the 1% you have time for.

The challenge

ECA needed to scale QA without lowering the bar. With manual review, managers could only get through a few calls per agent each month. Everything else went unscored, so coaching decisions rested on a small sample that didn't always reflect how an agent actually handled calls day to day. The standards were never the problem. Coverage was. ECA wanted every agent measured on more than a handful of calls, without asking managers to spend their week listening to recordings.

Like most answering services, ECA's quality process ran on experienced people listening to calls, checking for the right behaviors, and deciding who needed coaching. It worked, but it didn't scale. Every review took time, and the most useful feedback stayed buried in recordings nobody had time to revisit.

What the team needed

ECA wanted to keep reviewing the things that actually matter on a call, without listening to every recording start to finish:

• Call greetings and professionalism
• Hold management and caller experience
• Caller verification and message accuracy
• Tone, pacing, and overall call quality

These were already ECA's expectations. They just lived in managers' heads and in hours of audio.

How they use EmberQA

Rather than force ECA into a generic scorecard, EmberQA scores against the categories the team already cares about. Every call comes back transcribed, scored against ECA's rubric, with the reasoning behind each score laid out.

That gives managers a starting point instead of a backlog. They see where an agent followed the process, where something slipped, and which calls are worth a closer listen, before pressing play.

The result

ECA went from reviewing under 1% of calls to scoring 100% of them. Calls stopped being storage and became something the team learns from: searchable, comparable, and easy to turn into a coaching conversation.

Managers get a clearer read on performance, agents get feedback tied to specific moments, and ECA holds the same quality bar across far more calls than before.

The challenge

Spot On Schedulers was not dealing with one simple call flow. Each dental office had its own expectations for how calls should be handled, what information needed to be captured, and how appointment details should be reflected in the CRM. That made QA more complicated than simply checking whether an agent was polite or followed a generic script. The team needed a way to review every call without flattening each office into the same process.

Calls, CRM records, office-specific instructions, and scheduling outcomes all have to line up. Before EmberQA, the team could review examples manually, but it was difficult to apply every dental office's unique QA standards across every call.

What the team needed

EmberQA was introduced to help Spot On Schedulers evaluate calls against the right process for each dental office, while also checking that the CRM data matched what happened during the call. The goal was not just to review more calls. It was to make QA work for a multi-office operation with different requirements across customers.

• Review 100% of calls automatically
• Apply custom QA standards for each dental office
• Verify CRM data alongside the call data
• Surface process misses, coaching needs, and follow-up issues
• Give managers a consistent way to evaluate agent performance

Instead of relying on small samples or one-off manual checks, Spot On Schedulers could use EmberQA as a structured review layer across every customer conversation.

How they use EmberQA

Spot On Schedulers uses EmberQA to connect the call review process with the operational details that matter after the call ends.

Each call can be evaluated against the dental office's specific QA expectations. EmberQA reviews the conversation, checks required steps, identifies whether key information was captured, and helps validate the CRM record against the call itself. That gives managers a clearer starting point. They can see which calls followed the right office-specific process, which calls need attention, and where agents may need targeted coaching.

Built for office-specific QA

A generic scorecard would not have been enough. Spot On Schedulers needed a QA process flexible enough to handle different dental offices with different instructions. EmberQA supports that by letting each review reflect the standards of the office tied to that call. That means QA can stay specific, even while review volume scales.

CRM verification alongside call review

For Spot On Schedulers, call quality is not only about what was said. The team also needs to know whether the outcome of the call was captured correctly in the CRM. EmberQA supports that workflow by reviewing call data alongside CRM data, helping managers catch gaps between the conversation and the record.

The result

Spot On Schedulers can now review every call automatically while still respecting the complexity of each dental office's process. Managers get a more complete view of call quality, agent performance, and CRM accuracy. Agents get more targeted coaching because feedback is tied to the actual process they were expected to follow.

Spot On Schedulers now has a QA workflow that matches the way the business actually operates. It can handle multiple offices, different standards, call review, and CRM verification in one process.

For a complex scheduling operation, that flexibility matters. EmberQA gives the team a way to scale QA without losing the office-specific detail that makes their operation work.