service-design
Design end-to-end services across channels, touchpoints, and backstage operations so the whole experience works coherently. Use when improving multi-touchpoint journeys, aligning frontstage and backstage, or designing complex service ecosystems.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- service-design
- description
- Design end-to-end services across channels, touchpoints, and backstage operations so the whole experience works coherently. Use when improving multi-touchpoint journeys, aligning frontstage and backstage, or designing complex service ecosystems.
03 SKILL.md 正文
Service Design
Overview
Service design looks beyond a single interface to the full system of people, processes, and touchpoints that deliver value. It connects customer experience with operational reality.
When to Use
- Multi-channel or omnichannel experiences
- Services involving human staff + digital product
- Complex onboarding, support, or fulfillment journeys
- Aligning product, operations, and support around one experience
Core Practices
- Map the full service journey (frontstage and backstage)
- Identify pain points, handoffs, and ownership gaps
- Design service blueprints
- Prototype service experiences, not only UI
- Align metrics across channels and teams
Principles
- The experience is only as strong as the weakest handoff
- Backstage processes shape frontstage quality
- Design for employees as well as customers when staff deliver the service
- Orchestrate, don’t only optimize isolated touchpoints
Verification
- [ ] Journey includes cross-channel and human touchpoints
- [ ] Backstage ownership is clear for critical steps
- [ ] Improvements address systemic issues, not only surface UI
04 同仓库更多 Skills
compliance-monitoring
Design compliance monitoring and testing programs that verify controls work in practice and surface issues before regulators do. Use when building monitoring plans, compliance testing, or continuous control monitoring.
complaints-handling
Operate complaints-handling processes that meet regulatory standards — logging, timely resolution, root-cause analysis, and fair outcomes. Use when designing or improving regulated complaints frameworks or analyzing complaint themes for conduct risk.
aml-kyc-basics
Apply AML/KYC fundamentals — customer due diligence, monitoring, suspicious activity escalation, and recordkeeping — for financial crime compliance. Use when designing onboarding controls, transaction monitoring concepts, or AML program components in financial services.
ai-model-compliance
Apply compliance controls to AI and automated decision systems — transparency, fairness, human oversight, documentation, and regulatory alignment. Use when deploying AI in regulated processes (credit, fraud, customer decisions) or responding to AI governance expectations.
data-quality-management
Manage data quality end-to-end — dimensions, rules, remediation, and prevention — beyond one-off cleaning scripts. Use when building sustained data quality programs or fixing systemic accuracy, completeness, or consistency problems.
data-lineage
Capture and use data lineage — where data comes from, how it transforms, and what depends on it — for impact analysis, debugging, and trust. Use when tracing metric origins, assessing change impact, or diagnosing broken pipelines.