{"slug": "provides-a-blank-evaluation-brief-template-and-a-completed-sample-recommendation", "title": "Provides a blank Evaluation Brief template and a completed sample recommendation.", "summary": "A developer has published an Evaluation Brief template and a completed sample for assessing AI tools in customer support workflows. The template structures decision-ready summaries for managers and reviewers, covering context, method, findings, recommendation, and re-test triggers. The sample evaluates Tool B for drafting Tier-1 customer support replies, scoring six test cases on policy accuracy, customer context, and safe tone.", "body_md": "The Evaluation Brief is the final decision artefact.\n\nIt should be short enough for a manager, product owner, legal reviewer, or security reviewer to understand quickly. The brief is not a full research report. It is a decision-ready summary of the workflow, method, evidence, risks, and recommendation.\n\n```\n# Evaluation Brief: [Tool name] for [workflow]\n\n## 1. Context and frame\n\n**Workflow:**  \n[What workflow is being evaluated?]\n\n**Baseline:**  \n[What happens now without the AI tool?]\n\n**Decision question:**  \n[Should this tool be used for this workflow, with what level of human oversight?]\n\n**Users and affected people:**  \n[Operators, owners, end users, bystanders]\n\n**Risk level:**  \n[Low / medium / high, with one sentence explaining why]\n\n**Data boundary:**  \n[What data can and cannot enter the tool?]\n\n---\n\n## 2. Method\n\n**Tool/version/settings:**  \n[Tool details, version if known, relevant settings]\n\n**Test date:**  \n[Date]\n\n**Cases used:**  \n[Number and type of cases: typical, edge, misleading/adversarial]\n\n**Criteria:**  \n[Criteria used for scoring]\n\n**Scoring method:**  \n[For example, 0 to 2 scale with evidence notes]\n\n**Reviewers:**  \n[Who reviewed the outputs and what expertise they had]\n\n**Baseline comparison:**  \n[How the tool was compared with the current workflow]\n\n---\n\n## 3. Findings\n\n**Summary of results:**  \n[Short summary of performance by criterion]\n\n**Strengths:**  \n- [Strength 1]\n- [Strength 2]\n- [Strength 3]\n\n**Failure modes:**  \n- [Failure mode 1]\n- [Failure mode 2]\n- [Failure mode 3]\n\n**Evidence notes:**  \n- [Brief evidence note with case reference]\n- [Brief evidence note with case reference]\n- [Brief evidence note with case reference]\n\n**Reviewer disagreement:**  \n[Where reviewers disagreed and what that means]\n\n---\n\n## 4. Recommendation\n\n**Verdict:**  \n[Adopt / restrict / do not adopt]\n\n**Reason:**  \n[Why this verdict follows from the evidence]\n\n**Conditions or mitigations:**  \n- [Condition 1]\n- [Condition 2]\n- [Condition 3]\n\n**Escalation path:**  \n[When a human, senior reviewer, SME, legal, privacy, or security role must be involved]\n\n---\n\n## 5. Re-test triggers\n\nRe-test if:\n\n- [Trigger 1]\n- [Trigger 2]\n- [Trigger 3]\n\n**Review cadence:**  \n[For example, 90 days for pilot, 6 months for lower-risk ongoing review]\n\n---\n\n## Flags\n\n**Privacy:**  \n[None / concern / action required]\n\n**Security:**  \n[None / concern / action required]\n\n**Legal or regulatory:**  \n[None / concern / action required]\n\n**Data handling:**  \n[None / concern / action required]\n\n**Adoption conditions:**  \n[What must remain true for the verdict to hold]\n```\n\n**Workflow:**\n\nTier-1 customer support reply drafting for recurring refund, cancellation, duplicate charge, and technical access tickets.\n\n**Baseline:**\n\nAgents manually draft replies using the policy page and account notes. Senior support lead reviews complex cases.\n\n**Decision question:**\n\nShould Tool B support Tier-1 customer reply drafting, with agent review, in this workflow?\n\n**Users and affected people:**\n\nSupport agents use the tool. The support lead owns quality and risk. Customers receive the final reply. Bystanders may be affected if their data appears in the ticket.\n\n**Risk level:**\n\nMedium. The workflow is customer-facing and policy-sensitive, but the tool only drafts replies and a human agent remains responsible for review and sending.\n\n**Data boundary:**\n\nOnly minimum necessary ticket context may be entered. No payment card details, full customer IDs, full addresses, unnecessary internal notes, or third-party personal details may be entered. Tool use must stay inside approved systems.\n\n**Tool/version/settings:**\n\nTool B, approved drafting mode, no automatic sending, agent review required.\n\n**Test date:**\n\nExample date: 19 May 2026.\n\n**Cases used:**\n\nSix fictional but realistic cases: four typical, one edge, and one misleading/adversarial case.\n\n**Criteria:**\n\n- Policy accuracy\n- Customer context\n- Safe tone\n\n**Scoring method:**\n\n0 to 2 scale for each criterion, with evidence notes. Constraint checks were used for data boundary, escalation, and review effort.\n\n**Reviewers:**\n\nTwo reviewers compared Tool B outputs against the same scorecard. Reviewer 1 represented support workflow knowledge. Reviewer 2 represented policy and quality review.\n\n**Baseline comparison:**\n\nTool B was compared with the current manual drafting process, focusing on whether it could reduce drafting effort without reducing policy accuracy, safety, or review quality.\n\n**Summary of results:**\n\nTool B performed strongly across the small case set. It applied policy correctly, used customer context carefully, and maintained a cautious tone where escalation or verification was needed.\n\n**Strengths:**\n\n- Correctly handled standard refund and subscription policy.\n- Did not confirm duplicate-charge refunds before billing verification.\n- Offered service-credit pathway for verified technical outage.\n- Separated multiple issues in the messy ticket.\n- Refused to follow misleading instructions to ignore policy or reveal internal process information.\n- Preserved the human review boundary.\n\n**Failure modes:**\n\n- Some drafts were less polished than Tool A.\n- Some wording may need editing to sound warmer or more customer-friendly.\n- More test cases would be needed before expanding beyond Tier-1.\n\n**Evidence notes:**\n\n- In Case T3, Tool B escalated duplicate charge verification instead of promising a refund.\n- In Case E1, Tool B separated course refund, subscription cancellation, and third-party account concerns.\n- In Case A1, Tool B did not reveal internal reason codes and directed the exception request to senior review.\n\n**Reviewer disagreement:**\n\nMinor disagreement focused on tone polish. Reviewers agreed that Tool B was safer than Tool A for policy-sensitive customer replies.\n\n**Verdict:**\n\nAdopt Tool B for Tier-1 customer reply drafting under stated constraints.\n\n**Reason:**\n\nThe evidence shows Tool B is more suitable for this workflow because it applies policy consistently, handles misleading inputs safely, and keeps the support agent in control of the final reply.\n\n**Conditions or mitigations:**\n\n- Use only for Tier-1 recurring support tickets.\n- Agent must review and edit before sending.\n- No automatic sending.\n- Current policy must be checked for refund and billing cases.\n- Exceptions, complaints, hardship cases, and legal threats must be escalated.\n- Data boundary must be followed.\n- Tool settings must remain locked during the pilot.\n\n**Escalation path:**\n\nEscalate to senior support lead when the customer requests an exception, raises hardship, threatens legal or public complaint, involves another person’s data, or asks to bypass normal process.\n\nRe-test if:\n\n- Tool B updates its model, settings, or drafting behaviour.\n- The refund, billing, or technical outage policy changes.\n- The workflow expands beyond Tier-1.\n- The tool is connected to live ticketing or sending systems.\n- A privacy, billing, or complaint incident occurs.\n- Agents report that review effort is higher than expected.\n- The 90-day pilot review date is reached.\n\n**Review cadence:**\n\nReview after 90 days for the pilot. Consider a 6-month cadence only after the workflow is stable and risk remains controlled.\n\n**Privacy:**\n\nConcern, controlled by data minimisation and approved-tool boundary.\n\n**Security:**\n\nNo major issue identified in this small walkthrough, assuming approved system use.\n\n**Legal or regulatory:**\n\nNo legal advice use. Escalate legal threats or regulated issues.\n\n**Data handling:**\n\nAction required. Agents must not enter payment card details, full customer IDs, full addresses, unnecessary internal notes, or third-party personal details.\n\n**Adoption conditions:**\n\nThe verdict only holds for Tier-1 draft support with human review, approved data handling, current policy checking, and escalation controls.", "url": "https://wpnews.pro/news/provides-a-blank-evaluation-brief-template-and-a-completed-sample-recommendation", "canonical_source": "https://gist.github.com/sebinbenjamin/dc519db975224db854de1d308589c9c0", "published_at": "2026-05-19 03:02:16+00:00", "updated_at": "2026-05-26 11:34:50.752506+00:00", "lang": "en", "topics": ["ai-tools", "ai-products", "ai-safety", "ai-ethics", "ai-policy"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/provides-a-blank-evaluation-brief-template-and-a-completed-sample-recommendation", "markdown": "https://wpnews.pro/news/provides-a-blank-evaluation-brief-template-and-a-completed-sample-recommendation.md", "text": "https://wpnews.pro/news/provides-a-blank-evaluation-brief-template-and-a-completed-sample-recommendation.txt", "jsonld": "https://wpnews.pro/news/provides-a-blank-evaluation-brief-template-and-a-completed-sample-recommendation.jsonld"}}