This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Brand strategy covering positioning, identity, brand architecture, messaging frameworks, and governance. Use when developing brand positioning, creating messaging frameworks, auditing brand health, or building brand architecture.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
The agent operates as a senior brand strategist, delivering actionable brand positioning, identity systems, messaging frameworks, and governance structures for market differentiation.
Before developing the strategy, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
For [target audience]
Who [need or opportunity]
[Brand] is the [category]
That [key benefit]
Unlike [competitors]
We [unique differentiator]
High Price
|
PREMIUM ----+---- LUXURY
* Quality | * Status
* Performance | * Exclusivity
|
Low Innovation -----+----- High Innovation
|
VALUE ----+---- DISRUPTOR
* Accessibility | * New approach
* Affordability | * Category change
|
Low Price
| Attribute | Us | Comp A | Comp B | Comp C |
|---|---|---|---|---|
| Price | $$$ | $$ | $$$$ | $ |
| Quality | High | Medium | High | Low |
| Innovation | High | Low | Medium | High |
| Service | High | High | Low | Medium |
BRAND IDENTITY SYSTEM
+-- Visual Identity
| +-- Logo (primary, secondary, icon)
| +-- Color palette
| +-- Typography
| +-- Imagery style
| +-- Graphic elements
+-- Verbal Identity
| +-- Brand voice
| +-- Tone guidelines
| +-- Messaging framework
| +-- Vocabulary
+-- Experiential Identity
+-- Customer experience
+-- Physical environments
+-- Digital experiences
| Context | Tone Adjustment |
|---|---|
| Marketing | More enthusiastic |
| Support | More empathetic |
| Legal | More formal |
| Social | More casual |
| Model | Structure | Example |
|---|---|---|
| Branded House | Master Brand > Products | Google (Maps, Drive, Cloud) |
| House of Brands | Parent > Independent Brands | P&G (Tide, Pampers, Gillette) |
| Endorsed | Sub-brand by Master Brand | Marriott (Courtyard by Marriott) |
| Hybrid | Mix of above | Amazon (Prime, AWS, Whole Foods) |
# Brand Strategy: FlowMetrics
## Positioning Statement
For data-driven product managers
Who need real-time user behavior insights without engineering support
FlowMetrics is the self-serve analytics platform
That delivers actionable funnels in under 5 minutes
Unlike Amplitude and Mixpanel
We require zero SQL and zero instrumentation code
## Brand Values
1. Clarity: Complex data, simple answers
2. Speed: Insights in minutes, not days
3. Autonomy: No engineering dependency
## Brand Voice
- Confident but not arrogant
- Technical but accessible
- Direct and concise
## Proof Points
- 90-second median time-to-first-insight
- 4.8/5 satisfaction from non-technical PMs
- 50% reduction in analytics engineering tickets
Awareness: unaided awareness, aided awareness, top-of-mind awareness Perception: brand attribute association, NPS, brand sentiment Consideration: purchase intent, preference vs. competitors, recommendation likelihood
Brand Health Dashboard - Q1 2026
Awareness: 68% (+5%) NPS: 45 (+8) Consideration: 72% (+3%)
Brand Attributes (% association)
Innovative: 78% Trustworthy: 82% Quality: 75%
Share of Voice: 32% (+2%) Sentiment: 85% positive
| Symptom | Likely Cause | Resolution |
|---|---|---|
| Positioning statement passes internally but customers do not repeat it | Positioning built on company perspective, not customer language | Rerun April Dunford methodology with 10+ customer interviews; use verbatim customer phrases |
| Brand architecture confusion after acquisition | No decision framework for integrating acquired brands | Evaluate using brand_architecture_analyzer.py; score audience overlap and category fit to choose model |
| NPS declining despite product improvements | Brand perception lagging behind product reality | Run brand health dashboard; invest in rebranding or brand awareness campaign targeting perception gap |
| Multiple sub-brands competing for same audience | House of Brands model applied when Branded House was appropriate | Consolidate overlapping brands; use brand architecture analyzer to validate optimal model |
| Competitive positioning feels generic | Differentiators are category requirements, not unique advantages | Apply "only-we" test: if a competitor could make the same claim, it is not a differentiator |
In Scope: Brand positioning frameworks (April Dunford), brand identity system design, brand architecture model selection (Branded House, House of Brands, Endorsed, Hybrid), competitive positioning analysis, brand health measurement, brand governance structures.
Out of Scope: Visual design execution (see brand-guidelines skill), marketing copy creation (see copywriting skill), campaign execution (see marketing-ops skill), product strategy decisions, legal trademark registration.
Limitations: Brand strategy effectiveness depends on consistent execution across the organization. Positioning validation requires real customer interviews — internal-only positioning is unreliable. Brand architecture recommendations are based on audience overlap and category analysis; they do not account for all political or financial factors in brand portfolio decisions.
| Script | Purpose | Usage |
|---|---|---|
scripts/brand_health_dashboard.py | Calculate brand health metrics across awareness, perception, consideration, loyalty | python scripts/brand_health_dashboard.py survey_data.json --json |
scripts/positioning_map_generator.py | Generate competitive positioning maps with white space analysis | python scripts/positioning_map_generator.py competitors.json --demo |
scripts/brand_architecture_analyzer.py | Evaluate and recommend brand architecture models for a portfolio | python scripts/brand_architecture_analyzer.py portfolio.json --json |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
This skill should be used when the user asks to "check accessibility", "audit WCAG compliance", "scan HTML for a11y issues", "check color contrast", or "find accessibility violations in web pages".
日本語の概要は準備中です。原文の説明を表示しています。
Design and run statistically rigorous A/B tests and experiments. Use when planning experiments, calculating sample sizes, designing test variants, selecting metrics, analyzing results, or when someone says "let's test that."
日本語の概要は準備中です。原文の説明を表示しています。
Design and analyze A/B tests: sample size, test duration, and statistical significance for conversion experiments. Use when setting up an A/B test, calculating sample size, designing an experiment, or analyzing results.
日本語の概要は準備中です。原文の説明を表示しています。
Sales execution across pipeline, discovery, demos, negotiation, and closing. Use when qualifying opportunities, running MEDDIC discovery, building account plans, handling objections, structuring proposals, or forecasting pipeline.
日本語の概要は準備中です。原文の説明を表示しています。
Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing. Use when writing ad copy, generating headline variations, creating ad sets, or validating creative.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO): optimize content to be cited by LLMs (ChatGPT, Claude, Perplexity, Gemini) in their answers. Use when designing content for LLM citation, auditing citability, or structuring Q&A schema.
日本語の概要は準備中です。原文の説明を表示しています。