Skillshub problem-solving
Apply systematic problem-solving techniques for marketing challenges including campaign complexity (simplification cascades), creative blocks (collision-zone thinking), recurring campaign patterns (meta-pattern recognition), assumption constraints (inversion exercise), audience scale uncertainty (scale game), and dispatch when stuck. Techniques derived from proven problem-solving frameworks adapted for marketing execution.
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T=$(mktemp -d) && git clone --depth=1 https://github.com/ComeOnOliver/skillshub "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aitytech/agentkits-marketing/problem-solving" ~/.claude/skills/comeonoliver-skillshub-problem-solving && rm -rf "$T"
skills/aitytech/agentkits-marketing/problem-solving/SKILL.mdMarketing Problem-Solving
Systematic techniques for solving complex marketing challenges, breaking through creative blocks, and optimizing campaigns.
Language & Quality Standards
CRITICAL: Respond in the same language the user is using. If Vietnamese, respond in Vietnamese. If Spanish, respond in Spanish.
Standards: Token efficiency, sacrifice grammar for concision, list unresolved questions at end.
When to Use This Skill
Apply problem-solving techniques when facing:
- Campaign Complexity Spirals - Campaign keeps adding features/channels, becoming unwieldy
- Creative Innovation Blocks - Stuck in conventional approaches, need breakthrough ideas
- Recurring Campaign Patterns - Same issues appearing across multiple campaigns
- Assumption Constraints - Limited by industry "truths" or conventional wisdom
- Audience Scale Uncertainty - Unclear how strategy scales from niche to mass market
- General Stuckness - Progress halted, unclear how to move forward
Core Techniques
1. Simplification Cascades
Problem: Campaign complexity spiraling out of control
When to use:
- Campaign has too many channels, messages, or touchpoints
- Team overwhelmed by execution complexity
- Budget spread too thin across tactics
- Message diluted across too many variations
How it works:
- List all campaign elements (channels, messages, segments, assets)
- Identify the 20% that drives 80% of results
- Ruthlessly cut the rest
- Reassess and repeat if still complex
Marketing example:
Problem: Product launch campaign across 8 channels, 15 assets, 4 segments ↓ Simplification Round 1 Focus: Top 3 channels (email, LinkedIn, blog), 6 core assets, 2 key segments ↓ Simplification Round 2 Core: Email + LinkedIn, 3 assets (landing page, case study, email sequence), 1 primary segment Result: Focused execution, better results, manageable workload
See:
./references/simplification-cascades.md
2. Collision-Zone Thinking
Problem: Creative blocks, conventional approaches not working
When to use:
- Campaign ideas feel generic or uninspired
- Competitor campaigns all look similar
- Need differentiation and breakthrough positioning
- Stuck in industry best practices that don't work
How it works:
- Identify two unrelated domains/industries
- Force collision: "What if [industry A] met [industry B]?"
- Extract unexpected insights
- Apply to your marketing challenge
Marketing example:
Challenge: B2B SaaS email campaign feels boring Collision: "What if enterprise software marketing met sneaker drops?" Insights: Scarcity, hype, exclusive access, community building Application: Limited beta access campaign, waitlist with perks, exclusive Slack community Result: 3x higher engagement, viral social sharing
See:
./references/collision-zone-thinking.md
3. Meta-Pattern Recognition
Problem: Same issues recurring across campaigns
When to use:
- Different campaigns failing in similar ways
- Repeated performance issues across channels
- Team making same mistakes
- Need to identify root cause vs symptoms
How it works:
- Document 3+ instances of similar failures
- Look for deeper pattern beneath surface issues
- Address root cause, not symptoms
- Create system to prevent recurrence
Marketing example:
Surface problems: - Email campaign: Low open rates - Social campaign: Low engagement - Content campaign: Low traffic Meta-pattern discovered: Weak audience understanding Root cause: No buyer persona research or validation Solution: Comprehensive persona development process Prevention: Mandatory persona validation before any campaign
See:
./references/meta-pattern-recognition.md
4. Inversion Exercise
Problem: Constrained by industry assumptions or "best practices"
When to use:
- Conventional approaches failing
- Industry "rules" limiting creativity
- Need to challenge assumptions
- Market leader doing opposite of conventional wisdom
How it works:
- State current assumption: "We must do X"
- Invert it: "What if we did the opposite of X?"
- Explore inverted scenario seriously
- Identify valid insights from inversion
Marketing example:
Assumption: "We must build email list before launching" Inversion: "What if we launched with zero email list?" Exploration: Focus on virality, referrals, paid acquisition, partnerships Insight: Email list might be vanity metric; focus on product-led growth Result: Skip content marketing, invest in product experience and referral program
See:
./references/inversion-exercise.md
5. Scale Game
Problem: Uncertain how strategy scales across audience sizes
When to use:
- Unclear if niche strategy works at scale
- Planning market expansion
- Pivot from early adopters to mainstream
- Budget allocation across segments uncertain
How it works:
- Test strategy at 10x smaller scale
- Test strategy at 10x larger scale
- Identify what breaks at each scale
- Design for actual scale, not current size
Marketing example:
Current: 100 customers via founder-led sales 10x smaller (10 customers): - Works: Personal outreach, custom demos, high-touch - Breaks: Can't justify any paid marketing 10x larger (1,000 customers): - Works: Content marketing, paid ads, self-service onboarding - Breaks: Founder-led sales, custom demos 10x larger again (10,000 customers): - Works: Product-led growth, brand awareness, partnerships - Breaks: Content marketing bandwidth, ad costs unsustainable Insight: At 100→1,000, invest in content + paid ads + self-service Don't optimize for 10 or 10,000; build for 1,000
See:
./references/scale-game.md
6. When Stuck Protocol
Problem: Progress completely halted, don't know next step
When to use:
- Campaign stalled with no clear path forward
- Team disagrees on approach
- Overwhelmed by options or complexity
- Decision paralysis
How it works:
- Zoom out: What's the actual goal? (Often forgot amid tactics)
- Constraint: What if you had 1 day and $100? (Forces prioritization)
- Naïve question: What would a beginner do? (Often surprisingly insightful)
- Ship smallest: What's the absolute minimum to test hypothesis?
Marketing example:
Stuck: Launching new product, paralyzed by marketing plan complexity Zoom out: Goal = validate market demand + get 10 paying customers Constraint: 1 day + $100 budget - Can't build full funnel - Can't create 50 assets - Focus: Simple landing page + $100 LinkedIn ads Naïve approach: "Just tell people about it" - Direct outreach to 50 ideal customers - Simple email explaining value Ship smallest: Landing page + email to 50 prospects + $100 ads Result: 3 sales in week 1, validated demand, iterate from there
See:
./references/when-stuck.md
Problem-Solving Workflow
Step 1: Identify Problem Type
- Complexity spiral? → Simplification Cascades
- Creative block? → Collision-Zone Thinking
- Recurring pattern? → Meta-Pattern Recognition
- Assumption constraint? → Inversion Exercise
- Scale uncertainty? → Scale Game
- Completely stuck? → When Stuck Protocol
Step 2: Apply Technique
- Follow structured process for chosen technique
- Document insights and findings
- Validate assumptions with data/research
Step 3: Implement Solution
- Create action plan from insights
- Test solution at small scale first
- Measure results and iterate
Step 4: Capture Learning
- Document problem + solution for future reference
- Share with team to build knowledge base
- Update campaign playbooks with insights
Integration with Marketing Workflow
Use problem-solving techniques at these key moments:
Planning Phase:
- Scale Game: Validate strategy for target audience size
- Inversion Exercise: Challenge conventional approaches
Execution Phase:
- Simplification Cascades: Cut scope when overwhelmed
- When Stuck Protocol: Unblock campaign development
Optimization Phase:
- Meta-Pattern Recognition: Identify recurring issues
- Collision-Zone Thinking: Generate breakthrough ideas
Review Phase:
- Document learnings for future campaigns
- Update problem-solving playbook
Reference Materials
All techniques detailed in
./references/:
- Reducing campaign complexitysimplification-cascades.md
- Breaking creative blockscollision-zone-thinking.md
- Finding root causesmeta-pattern-recognition.md
- Challenging assumptionsinversion-exercise.md
- Planning for audience scalescale-game.md
- Unblocking progresswhen-stuck.md
- Framework origins and creditsattribution.md
Quick Reference
Complexity overwhelm? → Simplification Cascades (cut to 20% that matters) Creative stuck? → Collision-Zone Thinking (force unexpected combinations) Same problems repeating? → Meta-Pattern Recognition (find root cause) Best practices failing? → Inversion Exercise (try opposite approach) Scaling unclear? → Scale Game (test at 10x/0.1x scale) Completely blocked? → When Stuck Protocol (zoom out, constrain, ship smallest)
Remember: These techniques are tools, not rules. Mix and combine as needed. The goal is breakthrough thinking and unblocked execution, not perfect methodology.