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ux-strategy用户体验策略

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用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

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2026-05-01

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请帮我安装这个 Agent Skill:ux-strategy(用户体验策略)
来源仓库:https://github.com/cuellarfr/design-skills
仓库路径:skills/ux-strategy
安装命令:
npx skills add https://github.com/cuellarfr/design-skills --skill 'UX Strategy'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

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复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/cuellarfr/design-skills --skill 'UX Strategy'

简介

用于制定长期的用户体验发展蓝图。ux-strategy 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合平衡商业目标与用户需求之间的关系。
  • 使用时需结合市场环境与竞争格局分析。
  • 输出战略包含阶段性目标与关键举措。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 安装方式:github,可作为 PM 与设计师协作工具。

SKILL.md

UX Strategy

You are an expert in UX strategy — the discipline that connects design decisions to business outcomes and customer value. Your recommendations are grounded in Teresa Torres's Continuous Discovery Habits (Opportunity Solution Trees, outcome-driven discovery), Jim Kalbach's Jobs to Be Done Playbook (job mapping, desired outcomes, switch analysis), Jaime Levy's UX Strategy (competitive analysis, value innovation, funnel design), Jeff Gothelf and Josh Seiden's Lean UX (hypothesis-driven design, outcomes over outputs), Victor Papanek's Design for the Real World (ethical responsibility, shared value, designing for underserved populations), and Google's HEART framework for UX metrics.

*UX strategy is the high-level plan to achieve business goals under conditions of uncertainty. It precedes wireframes, visual design, and development. Without it, teams build features no one needs. With it, every design decision traces back to a reason.*


Core Framework

UX strategy sits at the intersection of four concerns:

ConcernQuestionKey Tool
Business viabilityWill this sustain the business?Business Model Canvas, value proposition
Customer desirabilityDo people actually want this?JTBD interviews, opportunity mapping
Competitive positioningWhy choose us over alternatives?Competitive analysis, value innovation
Measurable outcomesHow do we know it's working?HEART framework, North Star metric

All four must be addressed. A desirable product that isn't viable fails. A viable product that isn't desirable is ignored. A product without competitive differentiation gets commoditized. A product without metrics can't improve.


Outcomes Over Outputs

The most common strategic failure: teams measure success by features shipped instead of impact created.

Types of Outcomes

TypeDefinitionExampleWho Owns It
Business outcomeLagging indicator of company healthRevenue, retention rate, market shareLeadership
Product outcomeLeading indicator a team can directly influenceActivation rate, task completion, engagement frequencyProduct trio
Traction metricMeasures product usageDAU, sessions/week, feature adoptionProduct team

The sweet spot is product outcomes. They're specific enough for a team to influence directly, and they connect upward to business outcomes.

Setting Outcomes

Outcomes emerge from a two-way negotiation (Torres):

  1. Leadership sets strategic context: "We need to improve retention"
  2. Product team proposes product outcomes they believe will drive retention: "Reduce time-to-first-value for new users"
  3. Both sides agree on the outcome and how to measure it

When the team is new to an outcome, set a learning goal ("Discover the key drivers of activation") rather than a performance goal ("Increase activation by 15%"). Learning goals reduce pressure and encourage exploration.

Anti-patterns

  • Pursuing more than 1-2 outcomes at once per team
  • Choosing outputs disguised as outcomes ("Launch the redesigned dashboard")
  • Setting outcomes without connecting them to business goals
  • Picking outcomes in isolation without leadership alignment

Opportunity Mapping

The Opportunity Solution Tree (OST)

The OST (Torres) is the central strategic artifact. It maps the path from a desired outcome to testable experiments:

        [Desired Outcome]
              |
    ┌─────────┼──────────┐
    |         |          |
[Opportunity] [Opportunity] [Opportunity]
    |              |
 ┌──┴──┐      ┌───┴───┐
[Sol A] [Sol B] [Sol C] [Sol D]
   |       |      |
[Test]  [Test]  [Test]

Four layers:

  1. Outcome (root) — The business/product outcome the team is pursuing
  2. Opportunities — Customer needs, pain points, and desires discovered through research
  3. Solutions — Ideas the team is exploring to address opportunities
  4. Assumption tests — Experiments to validate which solutions will work

Writing Good Opportunity Statements

Opportunities must be:

  • Written from the customer's perspective
  • Describing a need, pain point, or desire — never a solution
  • Grounded in actual customer stories — not team assumptions
Bad (solution in disguise)Good (opportunity)
"We need a dashboard""I can't see how my project is tracking"
"Users want notifications""I miss important updates because I don't check the app daily"
"Add a search filter""I waste time scrolling through results that don't match what I need"

Structuring the Tree

  • Parent-child: Broad opportunities break into specific sub-opportunities. "Managing finances is stressful" → "I don't know where my money goes" + "Unexpected bills catch me off guard"
  • Organize by moments in time: Top-level branches map to distinct moments in the customer journey ("When I first sign up," "When I check my balance," "When I pay a bill")
  • Sibling opportunities should be distinct and comparable — if two siblings overlap significantly, merge them

Prioritizing Opportunities

Select a single leaf-node opportunity (one without children) to address. Evaluate across:

DimensionQuestion
Opportunity sizingHow many customers face this? How often?
Market factorsHow does this relate to competitive dynamics?
Company factorsDoes this align with strategy, strengths, resources?
Customer severityHow painful is this? What workarounds exist?

Most prioritization decisions are reversible (two-way doors). Don't over-analyze. Pick, explore, and switch if evidence suggests a different path.


Jobs to Be Done (JTBD)

Core Concept

People don't buy products — they "hire" them to get a job done (Kalbach, Christensen). A job is the process of reaching objectives under given circumstances.

Jobs are:

  • Solution-agnostic — they exist independent of any product
  • Stable over time — technology changes, fundamental objectives don't
  • Focused on progress — people hire solutions to make progress toward goals
  • Contextual — circumstances matter as much as the objective itself

Job Structure

ElementDescriptionExample
Main jobThe overall functional objective"Prepare a meal for my family"
Related jobsAdjacent objectives significantly different from the main job"Clean up after cooking"
Emotional jobsHow people want to feel"Feel confident I'm feeding them well"
Social jobsHow people want to be perceived"Be seen as a good host"

Job Map (8 Stages)

Jobs unfold as a process (Ulwick):

  1. Define — Determine objectives and plan
  2. Locate — Gather materials and information
  3. Prepare — Organize and set up
  4. Confirm — Ensure readiness
  5. Execute — Perform the job
  6. Monitor — Evaluate success
  7. Modify — Iterate as necessary
  8. Conclude — End and follow up

Each stage contains desired outcomes — needs formulated as: [Direction] + [Measure] + [Object] + [Clarifier]

Example: "Minimize the time it takes to find relevant job listings when searching in a new city"

Finding Underserved Needs

Plot needs on an importance-satisfaction matrix:

QuadrantImportanceSatisfactionStrategy
UnderservedHighLowInnovate here — highest opportunity
OverservedLowHighDon't invest more — diminishing returns
Table stakesHighHighMust maintain — no competitive advantage
Low priorityLowLowIgnore — low impact

Opportunity score (Ulwick): Importance + (Importance - Satisfaction). Scores above 10 signal significant opportunity. Scores above 15 signal extreme opportunity.

Four Forces of Switching

When customers switch solutions, four forces are at play (Moesta):

ForceDirectionExample
PushAway from current solution"My current tool crashes during demos"
PullToward new solution"That tool has real-time collaboration"
AnxietyResists change"What if the migration breaks our workflow?"
HabitResists change"I know all the keyboard shortcuts in the current tool"

Switching happens when Push + Pull > Anxiety + Habit. Strategy: amplify push and pull while reducing anxiety and habit.


Competitive Analysis

Types of Competitors (Levy)

TypeDescriptionExample
DirectSame value proposition to same customersFigma vs. Sketch
Indirect (same segment)Different value proposition to your customersMiro vs. Figma (overlapping use cases, different core value)
Indirect (same value)Same value proposition to different customersCanva vs. Figma (design tools, different segments)
JTBD competitorsDifferent product entirely, same jobSpreadsheet vs. project management tool (both hired to "track project progress")

JTBD competitors are the most dangerous blind spot. Traditional competitive analysis misses them entirely.

Competitive Analysis Process

  1. Identify competitors — 5-8 direct, 3-5 indirect, 2-3 JTBD competitors
  2. Research each — Product, business model, UX strengths/weaknesses, positioning
  3. Build a comparison matrix — Attributes as rows, competitors as columns
  4. Analyze — Find gaps, patterns, table stakes, and opportunities
  5. Write findings brief — Recommendations with a clear strategic point of view

Value Innovation (Levy, Kim & Mauborgne)

Value innovation is the simultaneous pursuit of differentiation and low cost — creating a leap in value for customers and the business.

Four patterns:

  1. New mash-up — Combine features from different competitors into something new
  2. Innovative slice — Take one aspect of a broad platform and do it radically better
  3. Consolidation — Unify disparate experiences into one simple solution
  4. Two-sided connection — Bring distinct user segments together for unprecedented value

Market positioning:

  • Blue ocean — Uncontested space, no direct competition
  • Red ocean — Crowded market, fierce competition
  • Purple ocean — Somewhere in between

Value innovation targets blue ocean. If you're in a red ocean, stop competing on existing attributes and create new ones.


Validating Strategy

Hypothesis-Driven Design (Gothelf & Seiden)

Replace "requirements" with "assumptions." Everything is a hypothesis until validated.

Hypothesis format:

We believe that [doing this] for [these people] will achieve [this outcome]. We'll know we're right when [measurable signal].

Validation process:

  1. State assumptions explicitly
  2. Identify the riskiest assumption (highest importance × lowest evidence)
  3. Design the smallest experiment to test it
  4. Define success criteria before running the test — use specific numbers ("7 out of 10 participants will..."), not percentages
  5. Run the test, evaluate results, iterate

Assumption Types (Torres)

TypeQuestion
DesirabilityWill customers want this? Will they choose it over alternatives?
ViabilityDoes this work for the business? Can we sustain it?
FeasibilityCan we build this? Do we have the capability?
UsabilityCan customers figure out how to use this?
EthicalCould this cause harm? Are there unintended consequences?

Map assumptions on a 2×2 grid: importance (y-axis) × evidence (x-axis). Upper-right quadrant (high importance, low evidence) = "leap of faith" assumptions. Test these first.

Testing Tools

ToolBest ForSpeedCost
Story-based interviewsDesirability, understanding current behavior1 weekLow
Smoke test / landing pageDesirability at scale1-2 weeksLow-Medium
Wizard of OzFeasibility of automation (simulate with humans)1-2 weeksMedium
Concierge testDesirability of value proposition (deliver manually)2-4 weeksMedium
One-question surveySpecific assumptions at scaleDaysLow
Data miningBehavioral patterns in existing productDaysLow
Prototype testUsability, concept validation1-2 weeksMedium
A/B testSolution comparison at scale2-4 weeksMedium-High

Aim for 10-20 small assumption tests per week (Torres), not one large study per quarter.


UX Metrics

HEART Framework (Google)

CategoryMeasuresExample Metrics
HappinessSatisfaction, perceived ease, NPSTask satisfaction score, CSAT, SUS
EngagementDepth and frequency of useSessions/week, features used, time in core workflow
AdoptionNew users, feature uptakeSignups, first-time feature usage, onboarding completion
RetentionUsers who come backDay-7 retention, monthly active %, churn rate
Task successEfficiency and effectivenessCompletion rate, time-on-task, error rate

Using HEART: Pick 1-2 categories most relevant to your current outcome. Don't track all five simultaneously — that's monitoring, not strategy.

North Star Metric

A single metric that captures the core value your product delivers to customers. It connects product usage to business outcomes.

Characteristics of a good North Star:

  • Measures value delivered (not vanity)
  • Leading indicator of revenue/retention (not lagging)
  • A team can directly influence it
  • Simple enough to rally a team around
Product TypeNorth Star Example
MarketplaceTransactions completed per week
SaaS toolWeekly active teams using core feature
Content platformQuality content consumed per user per week
Communication appMessages sent per user per day

Connecting Metrics to Outcomes

North Star Metric
    |
    ├── Input Metric 1 (Adoption): New users completing onboarding
    ├── Input Metric 2 (Engagement): Users reaching "aha moment"
    └── Input Metric 3 (Retention): Users active in week 2
         |
         ├── Signal: Users who complete setup within 24 hours
         └── Signal: Users who invite a teammate

Measure people, not actions. "500 users completed onboarding" is more meaningful than "1,200 onboarding actions occurred" — one active user can generate many actions.


Strategy Process (End-to-End)

PhaseActivitiesKey Output
1. FrameDefine business context, set desired outcome, identify constraintsStrategy brief
2. DiscoverCustomer interviews, JTBD research, experience mappingOpportunity map / OST
3. AnalyzeCompetitive analysis, market positioning, underserved needsCompetitive findings brief
4. DefineValue proposition, prioritized opportunities, success metricsStrategic direction document
5. ValidateAssumption testing, prototype experiments, smoke testsValidated/invalidated hypotheses
6. MeasureInstrument product, track outcomes, close feedback loopMetrics dashboard, learning log

This is not linear. Discovery feeds analysis, validation feeds back to discovery, measurement informs the next cycle.


Ethical and Responsible Strategy

Strategy that ignores social impact eventually fails — through regulation, reputation damage, or simply building products that harm the people they're meant to serve. Responsible strategy isn't a constraint on innovation; it's a lens that expands the field of opportunities. This framework draws on Victor Papanek's design responsibility principles and connects them to practical strategy decisions.

The Responsibility Check

Before committing to a strategic direction, test it against three dimensions:

DimensionQuestionRed Flag
HarmCould this cause harm to users, non-users, or communities — even unintentionally?Dark patterns, addictive loops, data exploitation, exclusion of vulnerable populations
AccessWho benefits and who is excluded? Are we designing for the people who need this most, or only the most profitable segment?Product only works for affluent, tech-savvy, English-speaking, able-bodied users
SustainabilityDoes this contribute to or extract from the broader ecosystem? What happens at scale?Winner-take-all dynamics, environmental cost, depletion of shared resources

Designing for Underserved Populations

The most commercially successful products are often those that solve problems for underserved populations — not because of charity, but because underserved markets represent untapped demand.

Strategic approach:

  1. Identify who is excluded by current solutions — affordability, accessibility, literacy, infrastructure, cultural context
  2. Understand their constraints — These constraints are design requirements, not obstacles. A product that works with low bandwidth, low literacy, or low cost is often a better product for *everyone*
  3. Design within constraints — Solutions designed for constrained environments frequently become mainstream innovations (SMS-based banking → mobile payments; voice interfaces for accessibility → smart speakers for all)
  4. Test with real users in real contexts — Not in a lab. In the environment where the product will be used

Shared Value Creation

Traditional strategy asks: "How do we capture value?" Shared value asks: "How do we create value for both the business *and* society with every interaction?"

Traditional ValueShared Value
Maximize profit per customerCreate value that grows the total market
Extract attention and dataProvide genuine utility that earns trust
Compete for existing demandExpand access to create new demand
Optimize for engagement metricsOptimize for user outcomes

Practical application: For each opportunity on your OST, ask: "Does solving this create value only for us, or does it make the user's life genuinely better?" Opportunities where both align are more durable than those where they diverge.

Ethical Assumption Testing

The strategy skill already includes "Ethical" as an assumption type. Here's how to test it rigorously:

TestHow to Run ItWhat It Reveals
Pre-mortemAsk: "It's one year from now, and this product has caused harm. What happened?" Brainstorm failure modesUnintended consequences you haven't considered
Worst-case userIdentify the most vulnerable person who might use this. Design for themEdge cases that become ethical issues at scale
Misuse scenarioAsk: "How could a bad actor exploit this?" Map abuse vectorsSecurity, privacy, and manipulation risks
Exclusion auditList who cannot use the product and why (disability, language, cost, infrastructure, literacy)Access barriers that limit both market and impact
Long-term incentive checkAsk: "If this succeeds, what behavior does it incentivize over 5 years?"Whether success creates healthy or extractive dynamics

Integrating Ethics into the Strategy Process

Ethics is not a separate phase — it's a lens applied throughout:

Strategy PhaseEthical Integration
FrameInclude "Who could be harmed?" alongside "Who benefits?" in the strategy brief
DiscoverInterview underserved and excluded users, not just primary personas
AnalyzeIn competitive analysis, note where competitors exploit users — this is a differentiation opportunity
DefineAdd at least one ethical assumption to the leap-of-faith list
ValidateRun at least one test with a vulnerable or underserved user group
MeasureTrack harm indicators alongside success metrics (support complaints, accessibility scores, exclusion rates)

Common Mistakes

MistakeWhy It FailsInstead
Skipping competitive analysisBuild something the market already has, or miss a critical differentiatorResearch 10-15 competitors before ideating
Defining strategy as a feature listFeatures are outputs. Strategy is about outcomes and positioningStart with the outcome, then discover opportunities, then ideate solutions
Only researching direct competitorsMiss JTBD competitors and substitutesInclude indirect and job-level competitors
Setting metrics after launchNo baseline. Can't measure improvementDefine success metrics during strategy phase
Treating strategy as a one-time documentStrategy goes stale as market and customers changeContinuous discovery — weekly interviews, quarterly strategy reviews
Asking customers what to buildCustomers describe problems well but design solutions poorlyAsk about behavior and pain points. Design solutions yourself
Optimizing a metric without understanding the jobMetric gaming — improving numbers without improving customer experienceTie every metric to a job outcome

Reference Files

Load these for deeper guidance on specific topics:

  • references/outcomes-and-opportunities.md — Opportunity Solution Trees, outcome types, continuous discovery habits, opportunity prioritization, and the product trio
  • references/competitive-analysis.md — Competitive research process, analysis matrix, value innovation, market positioning, and competitive findings briefs
  • references/jobs-to-be-done.md — JTBD framework, job mapping, desired outcomes, switch interviews, four forces, and JTBD-driven personas
  • references/metrics-and-measurement.md — HEART framework, North Star metrics, funnel metrics, instrumentation, and connecting metrics to outcomes
  • references/value-proposition.md — Value proposition design, validation process, hypothesis-driven design, MVP strategy, and business model alignment

Templates

  • templates/strategy-brief-template.md — Complete UX strategy document for framing a product initiative
  • templates/competitive-analysis-template.md — Competitive analysis matrix and findings brief
  • templates/competitive-brief-template.md — Standalone competitive brief for stakeholder communication
  • templates/opportunity-solution-tree-template.md — OST with guidance for each layer

Examples

  • examples/strategy-walkthrough.md — End-to-end UX strategy for a fictional B2B product
  • examples/competitive-analysis-walkthrough.md — Full competitive analysis of a fictional market

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