Commerce Analytics Copilot
Copilot for Commerce Analytics, using approved data and bounded actions.
BlueprintCommerce Analytics
Learn the customer, business, technology, AI, controls, and KPIs for commerce analytics.
Learning model: business goal → customer journey → systems/data → failure modes → AI opportunity → human control → KPIs.
Agent patterns
Commerce Analytics Monitor
Monitor for Commerce Analytics, using approved data and bounded actions.
BlueprintCommerce Analytics Recovery Agent
Recovery Agent for Commerce Analytics, using approved data and bounded actions.
BlueprintCommerce Analytics Analyst Agent
Analyst Agent for Commerce Analytics, using approved data and bounded actions.
BlueprintCommerce Analytics QA & Control Agent
QA & Control Agent for Commerce Analytics, using approved data and bounded actions.
Blueprint36 prompts
Commerce Analytics — /human
/human Explain Commerce Analytics to a fresher using a human story, then a D2C example, workflow, risks, and KPIs.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /visualize
/visualize Visualize Commerce Analytics as an end-to-end D2C flow with customer actions, systems, decisions, exceptions, and outcomes.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /diagram
/diagram Create an architecture diagram for Commerce Analytics, showing storefront, services, APIs, data, events, and human approvals.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /flowchart
/flowchart Create a decision flowchart for Commerce Analytics, including normal path, exception path, retry, escalation, and safe stop.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /mindmap
/mindmap Create a mind map for Commerce Analytics: customer, business, data, technology, AI, risks, KPIs, and owners.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /analysis
/analysis Analyse Commerce Analytics performance for a fictional D2C electronics business. Segment results, find root causes, quantify impact, and recommend actions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /RCA
/RCA Create an RCA for a failure in Commerce Analytics: timeline, symptoms, hypotheses, evidence, root cause, containment, corrective action, prevention, and owner.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /BRD
/BRD Write a detailed BRD for improving Commerce Analytics: problem, users, scope, process, rules, integrations, errors, analytics, acceptance criteria, and exclusions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /PRD
/PRD Create a product requirements document for an AI-enabled Commerce Analytics capability with user needs, UX, logic, APIs, controls, metrics, and rollout.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /userstories
/userstories Write user stories and acceptance criteria for Commerce Analytics across customer, operations, support, product, and admin personas.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /testcases
/testcases Generate 50 test cases for Commerce Analytics: happy, negative, boundary, integration, performance, security, accessibility, and business-rule cases.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /UAT
/UAT Create a UAT plan for Commerce Analytics with scenarios, preconditions, data, steps, expected result, owner, severity, and sign-off.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /API
/API Design APIs for Commerce Analytics: endpoints, request/response JSON, validation, idempotency, errors, auth, rate limits, and observability.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /JSON
/JSON Create realistic JSON payload examples for Commerce Analytics, including success, failure, partial, retry, and exception states.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /SQL
/SQL Write SQL analysis questions and example queries for Commerce Analytics: funnel, failures, cohorts, anomalies, SLA, and business impact.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /dashboard
/dashboard Design an executive and operations dashboard for Commerce Analytics with metric formulas, dimensions, thresholds, alerts, owners, and decisions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /KPI
/KPI Define a KPI tree for Commerce Analytics: north-star, leading, lagging, customer, commercial, operational, quality, and risk metrics.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /agent
/agent Design an AI agent for Commerce Analytics: objective, trigger, state, tools, APIs, memory, rules, confidence, approval, audit log, KPIs, and tests.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /multiagent
/multiagent Design a multi-agent workflow for Commerce Analytics, separating planner, specialist agents, deterministic services, and human approval.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /automation
/automation Map Commerce Analytics and label every step: deterministic automation, AI assist, agent action, human approval, or human only.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /guardrails
/guardrails Create AI guardrails for Commerce Analytics: permissions, PII, policy grounding, confidence, financial thresholds, irreversible actions, audit, and rollback.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /evaluate
/evaluate Create an evaluation framework for AI in Commerce Analytics: accuracy, hallucination, precision/recall, latency, cost, safety, and business impact.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /monitor
/monitor Design production monitoring for AI-enabled Commerce Analytics: technical health, model quality, drift, customer harm, business metrics, and alerts.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /incident
/incident Create an incident playbook for Commerce Analytics: detect, classify, contain, communicate, recover, reconcile, and learn.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /SOP
/SOP Write an operations SOP for Commerce Analytics with roles, prerequisites, normal process, exception handling, escalation matrix, and daily controls.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /checklist
/checklist Create a launch-readiness checklist for Commerce Analytics: business, UX, content, data, API, QA, security, analytics, support, and rollback.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /roadmap
/roadmap Create a 90-day roadmap to improve Commerce Analytics: baseline, quick wins, experiments, AI opportunities, dependencies, milestones, and KPIs.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /prioritize
/prioritize Prioritise 15 improvement ideas for Commerce Analytics using impact, effort, confidence, customer value, risk, and dependency.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /executive
/executive Create a one-page executive review for Commerce Analytics: performance, customer impact, revenue impact, top risks, actions, owners, and decisions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /interview
/interview Create 20 interview questions and model answers about Commerce Analytics for ecommerce, product, and AI manager roles.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /quiz
/quiz Create a 15-question quiz on Commerce Analytics: beginner to advanced, with answers and explanations.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /project
/project Create a portfolio project for Commerce Analytics using fictional data: problem, dataset, analysis, AI solution, architecture, prompts, evaluation, and presentation.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /promptEvolution
/promptEvolution Improve a weak Commerce Analytics prompt through beginner, structured, expert, and agent-level versions.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /sales
/sales Create five D2C sales scenarios for Commerce Analytics, including intent, recommendation logic, objection, guardrail, and conversion KPI.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /cs
/cs Create five customer-service scenarios for Commerce Analytics, including customer message, system checks, grounded response, escalation, and KPI.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.
Commerce Analytics — /ops
/ops Create five operations scenarios for Commerce Analytics, with exception, evidence, decision, owner, SLA, and preventive control.Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.