Empathy scoring is a QA practice that specifically rates whether an agent acknowledged a customer's emotions and responded to them appropriately, separate from whether the agent solved the problem correctly.
Why it matters
A technically correct answer delivered coldly can leave a frustrated customer feeling worse, not better, and standard accuracy-focused QA doesn't catch that at all, since it's built to check whether the right information was given, not how it landed emotionally. Empathy scoring closes that specific gap, especially for complaints, cancellations, or an obviously upset customer.
How it's typically scored
A basic rubric checks a few concrete things, did the agent acknowledge the customer's frustration in words, did they avoid sounding scripted, did their tone match the seriousness of the situation. Because this is more subjective than checking whether a policy was followed, empathy scoring benefits more than most QA categories from calibration sessions, since without them, reviewers can score the identical response very differently.

A concise guide to SaaS customer support, covering team models, SLAs, KPIs, tooling, 24/7 coverage, and when outsourcing makes sense.

A practical guide to building 24/7 customer service, covering staffing, follow-the-sun shifts, escalation, automation, and SLAs without burning the team.

Learn how our managed services are designed to shoulder all operational responsibilities, offering clients streamlined, process-based operations under a flat monthly fee, allowing them to focus on growth.

Build a reliable social media community management operation with clear SLAs, escalation paths, moderation standards and off-hours coverage.

Explore 8 managed services examples across labeling, moderation, support, KYC and AI safety, with scope, SLAs, outcomes and practical lessons.

Scale ecommerce support with BUNCH using automation for routine work and real people for difficult tickets, with 24/7 coverage and order ops.