Product updates

How high-performing QA teams know where to focus

Traditional sampling no longer reflects the reality of modern contact centres. 

As conversation volumes increase across channels, the proportion of interactions that can realistically be reviewed manually continues to shrink. At the same time, teams have access to more data than ever before.  

The result is a familiar tension: more information, less clarity. 

The typical response is to increase manual QA. Yet this effort rarely translates into better understanding. Teams still struggle to identify what is really happening in customer conversations and why issues are emerging. 

And that’s often because effort is being applied without enough direction. 

The real challenge: knowing what to monitor 

As QA programmes mature, the challenge shifts. The question is no longer how many interactions can be reviewed, but how teams decide which ones deserve attention. 

High-performing teams focus less on volume and more on relevance. They prioritise interactions linked to risk, performance, and emerging patterns, rather than isolated moments. This includes areas like: 

• compliance exposure 

• vulnerable customers 

• operational friction 

• consistently strong performance that can be replicated 

In this context, conversation intelligence becomes less about exhaustive coverage and more about guidance. Its value lies in helping teams surface what matters, understand why it matters, and act before issues escalate. 

A better way to decide where to focus 

A more effective approach starts with intent. Instead of reviewing interactions at random, leading teams begin with signals – changes in customer demand, shifts in experience metrics, or known areas of risk – and then narrow their focus deliberately. 

This allows QA to move from retrospective analysis towards earlier insight. Patterns can be identified while they are forming, not after they’ve become embedded. Equally, positive behaviours can be recognised and reinforced with greater confidence. 

Turning insight into action: say hello to Spotlight 

Spotlight is evaluagent’s response to this need for clearer focus. 

Built for teams who are drowning in data and are making their best assumptions based on what they can decipher with limited time and expertise, Spotlight is fast, accessible and most importantly: targeted. 

By applying Spotlight to filtered groups of conversations – for example by reason for contact, customer segment, or experience indicator – you can quickly understand the themes shaping those interactions. This provides a more grounded starting point for your QA activity, rooted in observable patterns rather than assumption. 

Spotlight supports prioritisation, reduces reliance on guesswork, and helps you direct expertise where it is likely to have the greatest impact. 

When would you use Spotlight? 

Let’s say you need to prep a report. Insight that might usually have taken hours, or days, to prepare can be generated instantly. Board-ready summaries are a click away, with supporting evidence for weekly reports or meetings, hitting on core issues quickly. 

Using filters from Imported Contacts, you can segment the conversations you’re most interested in. For example, you might want to know the reasons customers are getting in touch and driving high demand and repeat calls. What’s being said in these calls? Can you make changes to reduce demand?  

Point Spotlight at these calls, and you’ll gain actionable insights, with none of the intensive manual analysis. 

Built with customers, not assumptions 

The development of Spotlight has been shaped by ongoing collaboration with customers and early users. Feedback from real QA teams has informed how it fits into established workflows and how insights are presented for practical use. 

This approach reflects a broader value of ours: effective conversation intelligence should evolve from operational reality, not abstract theory, or AI for AI’s sake. 

What this means for QA and CX teams 

Clearer focus changes how QA teams spend their time. Less effort is lost searching for insight, and more is invested in coaching, prevention, and improvement. 

For QA and CX leaders, this creates a better balance between managing risk and enabling performance. It also offers a more accessible path into conversation intelligence — one that emphasises direction and understanding over scale alone. 

Spotlight supports this shift by helping you see where your attention is most needed. 

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