GROW

Retention & Win-back

Learn the customer, business, technology, AI, controls, and KPIs for retention & win-back.

Learning model: business goal → customer journey → systems/data → failure modes → AI opportunity → human control → KPIs.

Agent patterns

Retention & Win-back Copilot

Copilot for Retention & Win-back, using approved data and bounded actions.

Blueprint

Retention & Win-back Monitor

Monitor for Retention & Win-back, using approved data and bounded actions.

Blueprint

Retention & Win-back Recovery Agent

Recovery Agent for Retention & Win-back, using approved data and bounded actions.

Blueprint

Retention & Win-back Analyst Agent

Analyst Agent for Retention & Win-back, using approved data and bounded actions.

Blueprint

Retention & Win-back QA & Control Agent

QA & Control Agent for Retention & Win-back, using approved data and bounded actions.

Blueprint

36 prompts

/human

Retention & Win-back — /human

/human Explain Retention & Win-back 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.

/visualize

Retention & Win-back — /visualize

/visualize Visualize Retention & Win-back 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.

/diagram

Retention & Win-back — /diagram

/diagram Create an architecture diagram for Retention & Win-back, showing storefront, services, APIs, data, events, and human approvals.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/flowchart

Retention & Win-back — /flowchart

/flowchart Create a decision flowchart for Retention & Win-back, including normal path, exception path, retry, escalation, and safe stop.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/mindmap

Retention & Win-back — /mindmap

/mindmap Create a mind map for Retention & Win-back: customer, business, data, technology, AI, risks, KPIs, and owners.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/analysis

Retention & Win-back — /analysis

/analysis Analyse Retention & Win-back 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.

/RCA

Retention & Win-back — /RCA

/RCA Create an RCA for a failure in Retention & Win-back: timeline, symptoms, hypotheses, evidence, root cause, containment, corrective action, prevention, and owner.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/BRD

Retention & Win-back — /BRD

/BRD Write a detailed BRD for improving Retention & Win-back: problem, users, scope, process, rules, integrations, errors, analytics, acceptance criteria, and exclusions.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/PRD

Retention & Win-back — /PRD

/PRD Create a product requirements document for an AI-enabled Retention & Win-back capability with user needs, UX, logic, APIs, controls, metrics, and rollout.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/userstories

Retention & Win-back — /userstories

/userstories Write user stories and acceptance criteria for Retention & Win-back across customer, operations, support, product, and admin personas.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/testcases

Retention & Win-back — /testcases

/testcases Generate 50 test cases for Retention & Win-back: happy, negative, boundary, integration, performance, security, accessibility, and business-rule cases.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/UAT

Retention & Win-back — /UAT

/UAT Create a UAT plan for Retention & Win-back with scenarios, preconditions, data, steps, expected result, owner, severity, and sign-off.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/API

Retention & Win-back — /API

/API Design APIs for Retention & Win-back: endpoints, request/response JSON, validation, idempotency, errors, auth, rate limits, and observability.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/JSON

Retention & Win-back — /JSON

/JSON Create realistic JSON payload examples for Retention & Win-back, including success, failure, partial, retry, and exception states.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/SQL

Retention & Win-back — /SQL

/SQL Write SQL analysis questions and example queries for Retention & Win-back: funnel, failures, cohorts, anomalies, SLA, and business impact.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/dashboard

Retention & Win-back — /dashboard

/dashboard Design an executive and operations dashboard for Retention & Win-back with metric formulas, dimensions, thresholds, alerts, owners, and decisions.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/KPI

Retention & Win-back — /KPI

/KPI Define a KPI tree for Retention & Win-back: north-star, leading, lagging, customer, commercial, operational, quality, and risk metrics.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/agent

Retention & Win-back — /agent

/agent Design an AI agent for Retention & Win-back: 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.

/multiagent

Retention & Win-back — /multiagent

/multiagent Design a multi-agent workflow for Retention & Win-back, separating planner, specialist agents, deterministic services, and human approval.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/automation

Retention & Win-back — /automation

/automation Map Retention & Win-back 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.

/guardrails

Retention & Win-back — /guardrails

/guardrails Create AI guardrails for Retention & Win-back: permissions, PII, policy grounding, confidence, financial thresholds, irreversible actions, audit, and rollback.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/evaluate

Retention & Win-back — /evaluate

/evaluate Create an evaluation framework for AI in Retention & Win-back: accuracy, hallucination, precision/recall, latency, cost, safety, and business impact.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/monitor

Retention & Win-back — /monitor

/monitor Design production monitoring for AI-enabled Retention & Win-back: technical health, model quality, drift, customer harm, business metrics, and alerts.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/incident

Retention & Win-back — /incident

/incident Create an incident playbook for Retention & Win-back: detect, classify, contain, communicate, recover, reconcile, and learn.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/SOP

Retention & Win-back — /SOP

/SOP Write an operations SOP for Retention & Win-back with roles, prerequisites, normal process, exception handling, escalation matrix, and daily controls.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/checklist

Retention & Win-back — /checklist

/checklist Create a launch-readiness checklist for Retention & Win-back: business, UX, content, data, API, QA, security, analytics, support, and rollback.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/roadmap

Retention & Win-back — /roadmap

/roadmap Create a 90-day roadmap to improve Retention & Win-back: baseline, quick wins, experiments, AI opportunities, dependencies, milestones, and KPIs.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/prioritize

Retention & Win-back — /prioritize

/prioritize Prioritise 15 improvement ideas for Retention & Win-back using impact, effort, confidence, customer value, risk, and dependency.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/executive

Retention & Win-back — /executive

/executive Create a one-page executive review for Retention & Win-back: performance, customer impact, revenue impact, top risks, actions, owners, and decisions.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/interview

Retention & Win-back — /interview

/interview Create 20 interview questions and model answers about Retention & Win-back for ecommerce, product, and AI manager roles.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/quiz

Retention & Win-back — /quiz

/quiz Create a 15-question quiz on Retention & Win-back: beginner to advanced, with answers and explanations.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/project

Retention & Win-back — /project

/project Create a portfolio project for Retention & Win-back using fictional data: problem, dataset, analysis, AI solution, architecture, prompts, evaluation, and presentation.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/promptEvolution

Retention & Win-back — /promptEvolution

/promptEvolution Improve a weak Retention & Win-back prompt through beginner, structured, expert, and agent-level versions.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/sales

Retention & Win-back — /sales

/sales Create five D2C sales scenarios for Retention & Win-back, including intent, recommendation logic, objection, guardrail, and conversion KPI.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/cs

Retention & Win-back — /cs

/cs Create five customer-service scenarios for Retention & Win-back, including customer message, system checks, grounded response, escalation, and KPI.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.

/ops

Retention & Win-back — /ops

/ops Create five operations scenarios for Retention & Win-back, with exception, evidence, decision, owner, SLA, and preventive control.

Expected: Structured answer with assumptions, data, workflow, controls, KPIs, and actions.