{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "Contact Center AI Index",
  "description": "Source-backed guides for choosing and implementing AI for contact center quality, agents, and customer intelligence.",
  "home_page_url": "https://contactcentersoftware.blog/",
  "feed_url": "https://contactcentersoftware.blog/feed.json",
  "language": "en",
  "items": [
    {
      "id": "https://contactcentersoftware.blog/research/after-call-work-field-mapping/",
      "url": "https://contactcentersoftware.blog/research/after-call-work-field-mapping/",
      "title": "How should AI summaries map into CRM fields after a customer contact?",
      "summary": "Define a field mapping contract and record identity checks before allowing generated post-contact content to update a CRM.",
      "content_html": "<p>Define a field mapping contract and record identity checks before allowing generated post-contact content to update a CRM.</p><p><a href=\"https://contactcentersoftware.blog/research/after-call-work-field-mapping/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/after-call-work-summaries/",
      "url": "https://contactcentersoftware.blog/research/after-call-work-summaries/",
      "title": "How do you evaluate AI call summaries and after-call work automation?",
      "summary": "Evaluate after-call automation by accurate, approved case completion, counting agent review and correction time as part of the workflow.",
      "content_html": "<p>Evaluate after-call automation by accurate, approved case completion, counting agent review and correction time as part of the workflow.</p><p><a href=\"https://contactcentersoftware.blog/research/after-call-work-summaries/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/agent-assist-adoption/",
      "url": "https://contactcentersoftware.blog/research/agent-assist-adoption/",
      "title": "How should you diagnose low adoption of contact center agent assistance?",
      "summary": "Diagnose low agent-assist adoption by separating access, exposure, relevance, trust, and workflow friction rather than treating usage as a performance score.",
      "content_html": "<p>Diagnose low agent-assist adoption by separating access, exposure, relevance, trust, and workflow friction rather than treating usage as a performance score.</p><p><a href=\"https://contactcentersoftware.blog/research/agent-assist-adoption/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/agent-assist-answer-relevance/",
      "url": "https://contactcentersoftware.blog/research/agent-assist-answer-relevance/",
      "title": "How do you evaluate whether proactive suggestions are relevant or distracting?",
      "summary": "Evaluate proactive suggestions against the agent decision underway, counting distraction and missed opportunities separately from answer correctness.",
      "content_html": "<p>Evaluate proactive suggestions against the agent decision underway, counting distraction and missed opportunities separately from answer correctness.</p><p><a href=\"https://contactcentersoftware.blog/research/agent-assist-answer-relevance/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/agent-assist-desktop-integration/",
      "url": "https://contactcentersoftware.blog/research/agent-assist-desktop-integration/",
      "title": "What should an agent-assist desktop integration acceptance test cover?",
      "summary": "Accept an agent-assist desktop integration only after it preserves contact context, required work, and clear recovery behavior across realistic agent tasks.",
      "content_html": "<p>Accept an agent-assist desktop integration only after it preserves contact context, required work, and clear recovery behavior across realistic agent tasks.</p><p><a href=\"https://contactcentersoftware.blog/research/agent-assist-desktop-integration/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/agent-assist-latency-testing/",
      "url": "https://contactcentersoftware.blog/research/agent-assist-latency-testing/",
      "title": "How do you test agent-assist latency from speech to usable guidance?",
      "summary": "Measure agent-assist latency from the triggering customer utterance to usable guidance, keeping late, missing, and superseded suggestions in the results.",
      "content_html": "<p>Measure agent-assist latency from the triggering customer utterance to usable guidance, keeping late, missing, and superseded suggestions in the results.</p><p><a href=\"https://contactcentersoftware.blog/research/agent-assist-latency-testing/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/agent-score-appeals/",
      "url": "https://contactcentersoftware.blog/research/agent-score-appeals/",
      "title": "What should an operational QA score appeal case file contain?",
      "summary": "Resolve each QA appeal through a preserved original evaluation, criterion-level evidence and a documented reviewer decision.",
      "content_html": "<p>Resolve each QA appeal through a preserved original evaluation, criterion-level evidence and a documented reviewer decision.</p><p><a href=\"https://contactcentersoftware.blog/research/agent-score-appeals/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/aht-csat-balanced-evaluation/",
      "url": "https://contactcentersoftware.blog/research/aht-csat-balanced-evaluation/",
      "title": "How can you reduce handle time without sacrificing customer satisfaction?",
      "summary": "Target avoidable work and evaluate handle-time changes alongside resolution, quality, repeat contacts, and consistently measured customer feedback.",
      "content_html": "<p>Target avoidable work and evaluate handle-time changes alongside resolution, quality, repeat contacts, and consistently measured customer feedback.</p><p><a href=\"https://contactcentersoftware.blog/research/aht-csat-balanced-evaluation/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/ai-assisted-training-scenarios/",
      "url": "https://contactcentersoftware.blog/research/ai-assisted-training-scenarios/",
      "title": "How should you design training scenarios for AI-assisted contact center agents?",
      "summary": "Design AI-assisted training around a customer decision with a defined outcome, then vary the assistance so agents practice verification and escalation as well as execution.",
      "content_html": "<p>Design AI-assisted training around a customer decision with a defined outcome, then vary the assistance so agents practice verification and escalation as well as execution.</p><p><a href=\"https://contactcentersoftware.blog/research/ai-assisted-training-scenarios/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/ai-summary-error-taxonomy/",
      "url": "https://contactcentersoftware.blog/research/ai-summary-error-taxonomy/",
      "title": "How should QA teams classify errors in AI-generated call summaries?",
      "summary": "Classify summary errors by what failed and its downstream consequence, keeping content quality separate from record-delivery failures.",
      "content_html": "<p>Classify summary errors by what failed and its downstream consequence, keeping content quality separate from record-delivery failures.</p><p><a href=\"https://contactcentersoftware.blog/research/ai-summary-error-taxonomy/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/auto-qa-platforms/",
      "url": "https://contactcentersoftware.blog/research/auto-qa-platforms/",
      "title": "How should you compare automated QA platforms for a contact center?",
      "summary": "Compare automated QA platforms against a calibrated interaction sample and a reviewable workflow before expanding coverage.",
      "content_html": "<p>Compare automated QA platforms against a calibrated interaction sample and a reviewable workflow before expanding coverage.</p><p><a href=\"https://contactcentersoftware.blog/research/auto-qa-platforms/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/bot-vs-human-quality/",
      "url": "https://contactcentersoftware.blog/research/bot-vs-human-quality/",
      "title": "How can you compare bot and human contact quality fairly by task?",
      "summary": "Compare human and bot quality on shared outcomes within similar tasks while retaining role-specific diagnostic checks.",
      "content_html": "<p>Compare human and bot quality on shared outcomes within similar tasks while retaining role-specific diagnostic checks.</p><p><a href=\"https://contactcentersoftware.blog/research/bot-vs-human-quality/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/coaching-action-plans/",
      "url": "https://contactcentersoftware.blog/research/coaching-action-plans/",
      "title": "What should a contact center coaching action plan contain?",
      "summary": "A coaching action plan should specify one observable behavior, the practice needed, the support owner, and the evidence that will decide the next step.",
      "content_html": "<p>A coaching action plan should specify one observable behavior, the practice needed, the support owner, and the evidence that will decide the next step.</p><p><a href=\"https://contactcentersoftware.blog/research/coaching-action-plans/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/coaching-follow-up/",
      "url": "https://contactcentersoftware.blog/research/coaching-follow-up/",
      "title": "How should managers follow up after contact center agent coaching?",
      "summary": "Follow up on coaching by checking new opportunities for the agreed behavior, recording dependencies, and choosing explicitly whether to close, continue, or revise the plan.",
      "content_html": "<p>Follow up on coaching by checking new opportunities for the agreed behavior, recording dependencies, and choosing explicitly whether to close, continue, or revise the plan.</p><p><a href=\"https://contactcentersoftware.blog/research/coaching-follow-up/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/coaching-session-evidence/",
      "url": "https://contactcentersoftware.blog/research/coaching-session-evidence/",
      "title": "What evidence should a manager bring to an agent coaching session?",
      "summary": "Build a coaching evidence packet around the behavior and its context, including both supporting examples and information that could change the interpretation.",
      "content_html": "<p>Build a coaching evidence packet around the behavior and its context, including both supporting examples and information that could change the interpretation.</p><p><a href=\"https://contactcentersoftware.blog/research/coaching-session-evidence/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/contact-center-ai-buying-guide/",
      "url": "https://contactcentersoftware.blog/research/contact-center-ai-buying-guide/",
      "title": "A practical buying guide to contact center AI platforms",
      "summary": "Choose contact center AI by a scoped workflow and measurable acceptance criteria, then compare the evidence, operating responsibilities, and total cost for that scope.",
      "content_html": "<p>Choose contact center AI by a scoped workflow and measurable acceptance criteria, then compare the evidence, operating responsibilities, and total cost for that scope.</p><p><a href=\"https://contactcentersoftware.blog/research/contact-center-ai-buying-guide/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/contact-center-ai-integration-pilot/",
      "url": "https://contactcentersoftware.blog/research/contact-center-ai-integration-pilot/",
      "title": "How should a contact center AI integration pilot be scoped?",
      "summary": "An integration pilot should verify a complete contact lifecycle and its failure paths, using a field contract and ownership record rather than an integration logo.",
      "content_html": "<p>An integration pilot should verify a complete contact lifecycle and its failure paths, using a field contract and ownership record rather than an integration logo.</p><p><a href=\"https://contactcentersoftware.blog/research/contact-center-ai-integration-pilot/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/contact-center-ai-rfp/",
      "url": "https://contactcentersoftware.blog/research/contact-center-ai-rfp/",
      "title": "What should a contact center AI RFP require?",
      "summary": "An AI RFP should require a scoped workflow, an evidence state for each requirement, and a demonstrated acceptance scenario rather than a feature checklist alone.",
      "content_html": "<p>An AI RFP should require a scoped workflow, an evidence state for each requirement, and a demonstrated acceptance scenario rather than a feature checklist alone.</p><p><a href=\"https://contactcentersoftware.blog/research/contact-center-ai-rfp/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/contact-center-ai-rollout-plan/",
      "url": "https://contactcentersoftware.blog/research/contact-center-ai-rollout-plan/",
      "title": "How should contact center AI move from pilot to rollout?",
      "summary": "Move from pilot to rollout through explicit stage gates tied to quality, operational readiness, and reversibility rather than elapsed calendar time.",
      "content_html": "<p>Move from pilot to rollout through explicit stage gates tied to quality, operational readiness, and reversibility rather than elapsed calendar time.</p><p><a href=\"https://contactcentersoftware.blog/research/contact-center-ai-rollout-plan/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/contact-center-ai-total-cost/",
      "url": "https://contactcentersoftware.blog/research/contact-center-ai-total-cost/",
      "title": "How should teams compare the total cost of contact center AI?",
      "summary": "Compare total cost using the same workflow and volume assumptions, separating supplier charges, implementation work, recurring operations, and uncertainty.",
      "content_html": "<p>Compare total cost using the same workflow and volume assumptions, separating supplier charges, implementation work, recurring operations, and uncertainty.</p><p><a href=\"https://contactcentersoftware.blog/research/contact-center-ai-total-cost/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/contact-coverage-reconciliation/",
      "url": "https://contactcentersoftware.blog/research/contact-coverage-reconciliation/",
      "title": "How do you run a daily missing-conversation QA reconciliation queue?",
      "summary": "Reconcile missing QA records daily through an owned exception queue that preserves source identity and failure history.",
      "content_html": "<p>Reconcile missing QA records daily through an owned exception queue that preserves source identity and failure history.</p><p><a href=\"https://contactcentersoftware.blog/research/contact-coverage-reconciliation/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/customer-effort-analysis/",
      "url": "https://contactcentersoftware.blog/research/customer-effort-analysis/",
      "title": "How to investigate customer effort beyond handle time",
      "summary": "Investigate customer effort by locating the extra work required to finish a task, keeping survey responses separate from inferred and observed friction.",
      "content_html": "<p>Investigate customer effort by locating the extra work required to finish a task, keeping survey responses separate from inferred and observed friction.</p><p><a href=\"https://contactcentersoftware.blog/research/customer-effort-analysis/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/customer-experience-metrics/",
      "url": "https://contactcentersoftware.blog/research/customer-experience-metrics/",
      "title": "Which contact center AI metrics distinguish CSAT, NPS and inferred satisfaction?",
      "summary": "Measure survey CSAT and NPS separately from model-inferred satisfaction, then link each signal to a defined task, owner and verifiable outcome.",
      "content_html": "<p>Measure survey CSAT and NPS separately from model-inferred satisfaction, then link each signal to a defined task, owner and verifiable outcome.</p><p><a href=\"https://contactcentersoftware.blog/research/customer-experience-metrics/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/end-to-end-cx-automation/",
      "url": "https://contactcentersoftware.blog/research/end-to-end-cx-automation/",
      "title": "What end-to-end CX automation needs to prove",
      "summary": "An end-to-end CX automation claim should be tested against a complete workflow with verifiable state changes, recovery behavior, and a working human exit.",
      "content_html": "<p>An end-to-end CX automation claim should be tested against a complete workflow with verifiable state changes, recovery behavior, and a working human exit.</p><p><a href=\"https://contactcentersoftware.blog/research/end-to-end-cx-automation/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/knowledge-grounded-agent-assist/",
      "url": "https://contactcentersoftware.blog/research/knowledge-grounded-agent-assist/",
      "title": "How do you evaluate knowledge-grounded answers for contact center agents?",
      "summary": "Test knowledge-grounded assist against an approved answer set, including missing and conflicting information, before measuring search-time savings.",
      "content_html": "<p>Test knowledge-grounded assist against an approved answer set, including missing and conflicting information, before measuring search-time savings.</p><p><a href=\"https://contactcentersoftware.blog/research/knowledge-grounded-agent-assist/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/knowledge-refresh-ownership/",
      "url": "https://contactcentersoftware.blog/research/knowledge-refresh-ownership/",
      "title": "Who should own knowledge refresh for contact center agent assistance?",
      "summary": "Give each knowledge change a content owner, an implementation owner, an effective date, and a verified path from publication to assisted answers.",
      "content_html": "<p>Give each knowledge change a content owner, an implementation owner, an effective date, and a verified path from publication to assisted answers.</p><p><a href=\"https://contactcentersoftware.blog/research/knowledge-refresh-ownership/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/live-coaching-supervisor-alerts/",
      "url": "https://contactcentersoftware.blog/research/live-coaching-supervisor-alerts/",
      "title": "How should you choose live coaching and supervisor alert tools?",
      "summary": "Choose supervisor alerts around actionable events, a named response owner, and tested intervention workflows rather than dashboard volume.",
      "content_html": "<p>Choose supervisor alerts around actionable events, a named response owner, and tested intervention workflows rather than dashboard volume.</p><p><a href=\"https://contactcentersoftware.blog/research/live-coaching-supervisor-alerts/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/llm-vs-keyword-qa/",
      "url": "https://contactcentersoftware.blog/research/llm-vs-keyword-qa/",
      "title": "When should contact center QA use language models rather than keywords?",
      "summary": "Choose QA scoring methods by criterion and validate context, exact wording and exceptions on a shared holdout sample.",
      "content_html": "<p>Choose QA scoring methods by criterion and validate context, exact wording and exceptions on a shared holdout sample.</p><p><a href=\"https://contactcentersoftware.blog/research/llm-vs-keyword-qa/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/multilingual-qa-validation/",
      "url": "https://contactcentersoftware.blog/research/multilingual-qa-validation/",
      "title": "How should you validate automated QA across multiple languages?",
      "summary": "Validate each language and input condition with qualified reviewers before combining multilingual QA results.",
      "content_html": "<p>Validate each language and input condition with qualified reviewers before combining multilingual QA results.</p><p><a href=\"https://contactcentersoftware.blog/research/multilingual-qa-validation/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/new-agent-ramp-time/",
      "url": "https://contactcentersoftware.blog/research/new-agent-ramp-time/",
      "title": "How can you test whether AI assistance reduces new-agent ramp time?",
      "summary": "Evaluate onboarding AI against time to independent, quality-assured proficiency, with comparable cohorts and explicit checks for overreliance.",
      "content_html": "<p>Evaluate onboarding AI against time to independent, quality-assured proficiency, with comparable cohorts and explicit checks for overreliance.</p><p><a href=\"https://contactcentersoftware.blog/research/new-agent-ramp-time/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/omnichannel-quality-management/",
      "url": "https://contactcentersoftware.blog/research/omnichannel-quality-management/",
      "title": "How should QA scorecards work across voice, chat and email?",
      "summary": "Use common service outcomes with channel-specific evidence and report channel-level results before combining QA scores.",
      "content_html": "<p>Use common service outcomes with channel-specific evidence and report channel-level results before combining QA scores.</p><p><a href=\"https://contactcentersoftware.blog/research/omnichannel-quality-management/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-calibration-scorecards/",
      "url": "https://contactcentersoftware.blog/research/qa-calibration-scorecards/",
      "title": "How can contact centers calibrate AI QA scorecards and resolve disputes?",
      "summary": "Calibrate criterion-level judgments with shared reference cases, explicit exceptions and a documented dispute process.",
      "content_html": "<p>Calibrate criterion-level judgments with shared reference cases, explicit exceptions and a documented dispute process.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-calibration-scorecards/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-critical-errors/",
      "url": "https://contactcentersoftware.blog/research/qa-critical-errors/",
      "title": "How should contact centers define and review critical QA errors?",
      "summary": "Define critical QA events with precise triggers, sufficient evidence and accountable review before applying their score effects.",
      "content_html": "<p>Define critical QA events with precise triggers, sufficient evidence and accountable review before applying their score effects.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-critical-errors/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-false-positive-review/",
      "url": "https://contactcentersoftware.blog/research/qa-false-positive-review/",
      "title": "How should QA teams investigate false automated failures?",
      "summary": "Investigate unsupported QA failures by preserving original evidence, identifying the cause and testing the smallest justified repair.",
      "content_html": "<p>Investigate unsupported QA failures by preserving original evidence, identifying the cause and testing the smallest justified repair.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-false-positive-review/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-gold-set/",
      "url": "https://contactcentersoftware.blog/research/qa-gold-set/",
      "title": "How do you build a reference gold set for automated QA?",
      "summary": "Maintain independently reviewed reference interactions with versioned labels, evidence and a protected test split.",
      "content_html": "<p>Maintain independently reviewed reference interactions with versioned labels, evidence and a protected test split.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-gold-set/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-model-change-control/",
      "url": "https://contactcentersoftware.blog/research/qa-model-change-control/",
      "title": "How should contact centers control QA model and rubric changes?",
      "summary": "Release QA changes with versioned evidence, comparable test populations, an approval record and explicit reporting boundaries.",
      "content_html": "<p>Release QA changes with versioned evidence, comparable test populations, an approval record and explicit reporting boundaries.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-model-change-control/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-reporting-denominators/",
      "url": "https://contactcentersoftware.blog/research/qa-reporting-denominators/",
      "title": "Why do QA averages change when weights and not-applicable answers change?",
      "summary": "State the QA formula and denominator explicitly, keeping inapplicable, missing and failed results visible.",
      "content_html": "<p>State the QA formula and denominator explicitly, keeping inapplicable, missing and failed results visible.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-reporting-denominators/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-sampling-after-automation/",
      "url": "https://contactcentersoftware.blog/research/qa-sampling-after-automation/",
      "title": "What human QA sampling should remain after automated scoring?",
      "summary": "Retain separate human sample streams for routine error estimation, targeted investigation and change validation after QA automation.",
      "content_html": "<p>Retain separate human sample streams for routine error estimation, targeted investigation and change validation after QA automation.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-sampling-after-automation/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-scorecard-design/",
      "url": "https://contactcentersoftware.blog/research/qa-scorecard-design/",
      "title": "How do you design a contact center QA scorecard for automation?",
      "summary": "Design each QA criterion with a clear trigger, observable behavior, evidence requirement and explicit scoring effect.",
      "content_html": "<p>Design each QA criterion with a clear trigger, observable behavior, evidence requirement and explicit scoring effect.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-scorecard-design/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/qa-to-coaching-workflow/",
      "url": "https://contactcentersoftware.blog/research/qa-to-coaching-workflow/",
      "title": "How should automated QA findings become an agent coaching workflow?",
      "summary": "Turn a reviewed QA behavior pattern into a specific owned coaching action and a scheduled evidence-based follow-up.",
      "content_html": "<p>Turn a reviewed QA behavior pattern into a specific owned coaching action and a scheduled evidence-based follow-up.</p><p><a href=\"https://contactcentersoftware.blog/research/qa-to-coaching-workflow/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/real-time-agent-assist/",
      "url": "https://contactcentersoftware.blog/research/real-time-agent-assist/",
      "title": "How should you evaluate real-time agent assist during live calls?",
      "summary": "Evaluate real-time agent assist by whether correct, timely guidance helps an agent complete a specific customer task without adding distraction.",
      "content_html": "<p>Evaluate real-time agent assist by whether correct, timely guidance helps an agent complete a specific customer task without adding distraction.</p><p><a href=\"https://contactcentersoftware.blog/research/real-time-agent-assist/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Agent assistance"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/repeat-contact-analysis/",
      "url": "https://contactcentersoftware.blog/research/repeat-contact-analysis/",
      "title": "How to investigate repeat contacts without counting every return as a failure",
      "summary": "Investigate repeat contacts at the customer-task level, separating unresolved work from legitimate follow-up, duplicate records, and unrelated new requests.",
      "content_html": "<p>Investigate repeat contacts at the customer-task level, separating unresolved work from legitimate follow-up, duplicate records, and unrelated new requests.</p><p><a href=\"https://contactcentersoftware.blog/research/repeat-contact-analysis/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/score-all-conversations/",
      "url": "https://contactcentersoftware.blog/research/score-all-conversations/",
      "title": "What does scoring 100% of contact center conversations actually require?",
      "summary": "Verify full-population QA by reconciling source interactions with valid scored records and reporting every exclusion.",
      "content_html": "<p>Verify full-population QA by reconciling source interactions with valid scored records and reporting every exclusion.</p><p><a href=\"https://contactcentersoftware.blog/research/score-all-conversations/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-19T00:00:00Z",
      "tags": [
        "Quality management"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/screen-and-audio-analysis/",
      "url": "https://contactcentersoftware.blog/research/screen-and-audio-analysis/",
      "title": "How should you evaluate contact center screen and audio analysis?",
      "summary": "Test synchronized screen and audio evidence on specific workflow problems and distinguish recording from automatic visual interpretation.",
      "content_html": "<p>Test synchronized screen and audio evidence on specific workflow problems and distinguish recording from automatic visual interpretation.</p><p><a href=\"https://contactcentersoftware.blog/research/screen-and-audio-analysis/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/screen-audio-investigation-workflow/",
      "url": "https://contactcentersoftware.blog/research/screen-audio-investigation-workflow/",
      "title": "How to investigate a workflow problem with screen and audio evidence",
      "summary": "Investigate screen and audio together by constructing a timed event record, distinguishing observed friction from hypotheses, and assigning a reproducible next test.",
      "content_html": "<p>Investigate screen and audio together by constructing a timed event record, distinguishing observed friction from hypotheses, and assigning a reproducible next test.</p><p><a href=\"https://contactcentersoftware.blog/research/screen-audio-investigation-workflow/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/screen-recording-review-access/",
      "url": "https://contactcentersoftware.blog/research/screen-recording-review-access/",
      "title": "What access and retention evidence should buyers request for screen recording?",
      "summary": "Require evidence for reviewer access, export boundaries and recording lifecycle responsibilities before adopting screen recording.",
      "content_html": "<p>Require evidence for reviewer access, export boundaries and recording lifecycle responsibilities before adopting screen recording.</p><p><a href=\"https://contactcentersoftware.blog/research/screen-recording-review-access/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Buying & implementation"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/sentiment-intent-analysis/",
      "url": "https://contactcentersoftware.blog/research/sentiment-intent-analysis/",
      "title": "How to evaluate sentiment and intent analysis in customer conversations",
      "summary": "Evaluate sentiment and intent as separate classification tasks, using labeled examples, channel-level error analysis, and explicit limits on interpretation.",
      "content_html": "<p>Evaluate sentiment and intent as separate classification tasks, using labeled examples, channel-level error analysis, and explicit limits on interpretation.</p><p><a href=\"https://contactcentersoftware.blog/research/sentiment-intent-analysis/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/sentiment-trends-over-time/",
      "url": "https://contactcentersoftware.blog/research/sentiment-trends-over-time/",
      "title": "How to compare sentiment trends when models and contact mix change",
      "summary": "Interpret a sentiment trend only after checking stable populations, coverage, label definitions, and model versions; otherwise the series may not be comparable.",
      "content_html": "<p>Interpret a sentiment trend only after checking stable populations, coverage, label definitions, and model versions; otherwise the series may not be comparable.</p><p><a href=\"https://contactcentersoftware.blog/research/sentiment-trends-over-time/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/supervisor-alert-fatigue/",
      "url": "https://contactcentersoftware.blog/research/supervisor-alert-fatigue/",
      "title": "How do you reduce supervisor alert fatigue without hiding important calls?",
      "summary": "Reduce alert fatigue by assigning a response to each alert category, budgeting supervisor attention, and checking that noise reduction preserves important detections.",
      "content_html": "<p>Reduce alert fatigue by assigning a response to each alert category, budgeting supervisor attention, and checking that noise reduction preserves important detections.</p><p><a href=\"https://contactcentersoftware.blog/research/supervisor-alert-fatigue/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Coaching & training"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/virtual-agent-failure-recovery/",
      "url": "https://contactcentersoftware.blog/research/virtual-agent-failure-recovery/",
      "title": "How to test virtual-agent recovery when a connected system fails",
      "summary": "Recover from a failed system call by establishing the action state before retrying, and explain uncertainty when completion cannot be confirmed.",
      "content_html": "<p>Recover from a failed system call by establishing the action state before retrying, and explain uncertainty when completion cannot be confirmed.</p><p><a href=\"https://contactcentersoftware.blog/research/virtual-agent-failure-recovery/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/virtual-agent-human-handoff/",
      "url": "https://contactcentersoftware.blog/research/virtual-agent-human-handoff/",
      "title": "How to design a virtual-agent handoff that preserves the customer task",
      "summary": "Accept a human handoff only when the right person receives usable context and responsibility for the unfinished task is explicit.",
      "content_html": "<p>Accept a human handoff only when the right person receives usable context and responsibility for the unfinished task is explicit.</p><p><a href=\"https://contactcentersoftware.blog/research/virtual-agent-human-handoff/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/virtual-agent-interruption-tests/",
      "url": "https://contactcentersoftware.blog/research/virtual-agent-interruption-tests/",
      "title": "How to test interruptions and corrections in a voice AI agent",
      "summary": "Test voice interruption against both audio behavior and conversation state: the agent must hear the correction without continuing the wrong task.",
      "content_html": "<p>Test voice interruption against both audio behavior and conversation state: the agent must hear the correction without continuing the wrong task.</p><p><a href=\"https://contactcentersoftware.blog/research/virtual-agent-interruption-tests/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/virtual-agent-knowledge-boundaries/",
      "url": "https://contactcentersoftware.blog/research/virtual-agent-knowledge-boundaries/",
      "title": "How to set knowledge boundaries for a support virtual agent",
      "summary": "Give a support virtual agent an explicit answer boundary: approved sources, freshness rules, unsupported requests, and a safe route when evidence is insufficient.",
      "content_html": "<p>Give a support virtual agent an explicit answer boundary: approved sources, freshness rules, unsupported requests, and a safe route when evidence is insufficient.</p><p><a href=\"https://contactcentersoftware.blog/research/virtual-agent-knowledge-boundaries/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/virtual-agent-task-success/",
      "url": "https://contactcentersoftware.blog/research/virtual-agent-task-success/",
      "title": "How to define task success for contact center virtual agents",
      "summary": "Measure virtual-agent task success against an observable outcome and keep unresolved, abandoned, and unknown cases visible in the denominator.",
      "content_html": "<p>Measure virtual-agent task success against an observable outcome and keep unresolved, abandoned, and unknown cases visible in the denominator.</p><p><a href=\"https://contactcentersoftware.blog/research/virtual-agent-task-success/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/voc-action-ownership/",
      "url": "https://contactcentersoftware.blog/research/voc-action-ownership/",
      "title": "How to turn VoC themes into owned operational actions",
      "summary": "Turn a VoC theme into an owned action by recording the evidence, decision owner, proposed change, outcome measure, and review date.",
      "content_html": "<p>Turn a VoC theme into an owned action by recording the evidence, decision owner, proposed change, outcome measure, and review date.</p><p><a href=\"https://contactcentersoftware.blog/research/voc-action-ownership/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/voc-theme-taxonomy/",
      "url": "https://contactcentersoftware.blog/research/voc-theme-taxonomy/",
      "title": "How to build a VoC theme taxonomy that stays useful",
      "summary": "Build a VoC taxonomy around decisions teams can act on, with explicit inclusion rules, counterexamples, and a controlled way to change labels.",
      "content_html": "<p>Build a VoC taxonomy around decisions teams can act on, with explicit inclusion rules, counterexamples, and a controlled way to change labels.</p><p><a href=\"https://contactcentersoftware.blog/research/voc-theme-taxonomy/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/voice-ai-agent-evaluation/",
      "url": "https://contactcentersoftware.blog/research/voice-ai-agent-evaluation/",
      "title": "How to evaluate a voice AI agent beyond its demo",
      "summary": "Choose a voice AI agent through realistic task and recovery tests, measuring completed outcomes alongside latency, escalation, and customer effort.",
      "content_html": "<p>Choose a voice AI agent through realistic task and recovery tests, measuring completed outcomes alongside latency, escalation, and customer effort.</p><p><a href=\"https://contactcentersoftware.blog/research/voice-ai-agent-evaluation/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/voice-bot-language-pilots/",
      "url": "https://contactcentersoftware.blog/research/voice-bot-language-pilots/",
      "title": "How to run a language-specific voice AI pilot",
      "summary": "Approve voice AI separately for each required language and task, using local speakers, realistic audio, and visible failures before combining results.",
      "content_html": "<p>Approve voice AI separately for each required language and task, using local speakers, realistic audio, and visible failures before combining results.</p><p><a href=\"https://contactcentersoftware.blog/research/voice-bot-language-pilots/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/voice-chat-virtual-agents/",
      "url": "https://contactcentersoftware.blog/research/voice-chat-virtual-agents/",
      "title": "Choosing AI agents for both voice and chat",
      "summary": "Use one task policy across voice and chat, but test each channel and its handoffs separately; a shared product name does not prove consistent behavior.",
      "content_html": "<p>Use one task policy across voice and chat, but test each channel and its handoffs separately; a shared product name does not prove consistent behavior.</p><p><a href=\"https://contactcentersoftware.blog/research/voice-chat-virtual-agents/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "AI agents"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    },
    {
      "id": "https://contactcentersoftware.blog/research/voice-of-customer-platforms/",
      "url": "https://contactcentersoftware.blog/research/voice-of-customer-platforms/",
      "title": "Choosing a voice-of-the-customer platform for contact centers",
      "summary": "Choose a VoC platform by the customer evidence it can explain and the operational changes it can support, rather than by dashboard count.",
      "content_html": "<p>Choose a VoC platform by the customer evidence it can explain and the operational changes it can support, rather than by dashboard count.</p><p><a href=\"https://contactcentersoftware.blog/research/voice-of-customer-platforms/\">Read the complete guide and sources</a></p>",
      "date_published": "2026-10-19T00:00:00Z",
      "date_modified": "2026-10-20T00:00:00Z",
      "tags": [
        "Conversation analytics"
      ],
      "authors": [
        {
          "name": "Contact Center AI Index"
        }
      ]
    }
  ]
}
