Build a complete case-study creation blueprint — a Challenge-Solution-Results narrative framework, 15-20 client interview questions plus 10 internal-team questions, a data-visualization plan, format specifications (PDF, web page, slide deck, video script outline, social snippets, sales one-pager), a distribution strategy, a permission/approval checklist, and a draft executive summary. Plans the case study; it does not produce the finished designed asset. Triggers on \"/digital-marketing-pro:case
git clone https://github.com/indranilbanerjee/digital-marketing-pro.git--- name: case-study-plan description: "Build a complete case-study creation blueprint — a Challenge-Solution-Results narrative framework, 15-20 client interview questions plus 10 internal-team questions, a data-visualization plan, format specifications (PDF, web page, slide deck, video script outline, social snippets, sales one-pager), a distribution strategy, a permission/approval checklist, and a draft executive summary. Plans the case study; it does not produce the finished designed asset. Triggers on \"/digital-marketing-pro:case-study-plan\", \"turn this client win into a case study\", \"what should we ask the client in the interview\", \"plan a success story for sales enablement\", \"case study formats and distribution plan\". Reads the brand profile, guidelines, custom templates, and agency SOPs." argument-hint: "[client-name]" --- # /digital-marketing-pro:case-study-plan ## Purpose Generate a structured case study creation plan with interview framework, data visualization approach, format variations, and distribution strategy. Produces a complete blueprint for building compelling proof-of-results content that drives sales enablement and builds credibility. ## Input Required The user must provide (or will be prompted for): - **Client or project to feature**: The specific client engagement, campaign, or project that will be showcased - **Challenge or problem addressed**: The business problem, market pressure, or growth obstacle the client was facing before the engagement - **Solution implemented**: The services, campaigns, strategies, or tools deployed to address the challenge - **Results achieved**: Quantitative outcomes (revenue lift, traffic growth, conversion improvement, cost reduction) and qualitative outcomes (brand perception, team capability, process improvement) - **Timeline of engagement**: Duration of the project or campaign — start date, key milestones, and current status - **Permission status**: Whether the client has approved public use of their name, data, and story — or if anonymization is required - **Target audience for the case study**: Who will read or watch it — prospects in the same industry, C-suite decision-makers, marketing managers, procurement teams, or general audience - **Desired formats**: Which output formats are needed — PDF white paper, website page, presentation deck, video testimonial, social media snippets, or sales one-pager - **Industry vertical**: The client's industry for contextual benchmarking and relevance targeting - **Competitive context**: What alternatives the client considered and why they chose this approach ## Process 1. **Load brand context**: Read `~/.claude-marketing/brands/_active-brand.json` for the active slug, then load `~/.claude-marketing/brands/{slug}/profile.json`. Apply brand voice, compliance rules for target markets (`skills/context-engine/compliance-rules.md`), and industry context. **Also check for guidelines** at `~/.claude-marketing/brands/{slug}/guidelines/_manifest.json` — if present, load restrictions and relevant category files. Check for custom templates at `~/.claude-marketing/brands/{slug}/templates/`. Check for agency SOPs at `~/.claude-marketing/sops/`. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults. 2. **Structure the CSR narrative**: Build the Challenge-Solution-Results framework with sub-sections — situation overview, specific pain points, goals at project start, strategic approach, tactical execution, implementation timeline, quantitative results, qualitative impact, and future outlook. Identify the emotional arc that makes the story compelling, not just informative. 3. **Develop client interview questions**: Create 15-20 interview questions organized by section — background and context (company size, industry pressures, previous attempts), challenge deep-dive (symptoms, root causes, business impact of inaction), solution experience (selection criteria, onboarding, collaboration quality), results and impact (measurable outcomes, unexpected benefits, team reaction), and forward-looking (ongoing plans, what they would tell peers). 4. **Plan internal team interview questions**: Draft 10 questions for internal team members who worked on the engagement — strategic rationale, technical approach, challenges encountered during delivery, key turning points, and lessons learned that could inform future engagements. 5. **Identify data points and visualizations needed**: Map every quantitative result to a visualization type — before/after bar charts, timeline growth curves, funnel improvement diagrams, ROI waterfall charts, and comparison tables. Specify which data needs to be collected, verified, and approved by the client before publication. 6. **Design format variations**: Create specifications for each requested output format — PDF white paper (4-6 pages, designed layout with pull quotes and charts), web page (SEO-optimized with structured data markup), presentation deck (8-12 slides for sales meetings), video testimonial script (2-3 minute interview-based script outline), social media snippets (pull quotes, stat cards, carousel posts), and sales one-pager (front-and-back summary for leave-behinds). 7. **Create distribution strategy**: Plan where and how the case study will be published and promoted — website case study library, sales enablement materials, email nurture sequences, social media campaigns, PR outreach, paid promotion, conference presentations, and partner co-marketing opportunities. 8. **Build approval workflow and permission checklist**: Define the full approval process — internal review (legal, marketing, account team), client review (point of contact, legal, executive sign-off), data accuracy verification, quote approval, logo and brand usage permission, and timeline for each review stage. 9. **Write draft executive summary**: Compose a 150-200 word executive summary that captures the full story arc — who the client is, what they faced, what was done, and what resulted. This summary serves as the foundation for all format variations and distribution copy. 10. **Plan visual assets needed**: Specify all visual elements required — client logo (with usage permissions), data visualization charts, photography (team photos, office shots, product images), branded design templates, infographic elements, pull quote cards, and video b-roll if applicable. ## Output A structured case study creation plan containing: - **CSR narrative framework** — Challenge-Solution-Results structure with detailed sub-sections, emotional arc mapping, and story flow outline - **Client interview question set** — 15-20 questions organized by narrative section (background, challenge, solution, results, forward-looking) with follow-up prompts - **Internal team interview questions** — 10 questions covering strategic rationale, delivery experience, turning points, and retrospective insights - **Data visualization plan** — which metrics to highlight, chart types for each data point, before/after comparison designs, and data collection requirements - **Format variation specifications** — PDF (4-6 pages with layout notes), web page (SEO-optimized with schema markup), slides (8-12 with speaker notes), video (2-3 min script outline), social (pull quotes and stat cards), and one-pager (front-and-back layout) - **Distribution strategy** — publication channels (website, sales tools, social, email, PR), promotion plan, and audience targeting per channel - **Permission and approval checklist** — legal review, client sign-off stages, data verification steps, quote approval, logo usage, and review timeline - **Executive summary draft** — 150-200 word overview capturing the complete story arc for use across all formats - **Visual asset list** — photography needs, chart specifications, infographic elements, pull quote card designs, and video b-roll requirements - **SEO metadata** — optimized title tag, meta description, target keywords, and structured data recommendations for the web version - **Sales enablement notes** — where the case study fits in the sales funnel, which buyer objections it addresses, and how sales teams should use each format - **Content repurposing plan** — how to extract derivative content pieces (blog posts, social proof snippets, email testimonials, presentation slides) from the core case study ## Agents Used - **content-creator** — Narrative structure, interview question development, executive summary drafting, format variation planning, visual asset specification, and content repurposing strategy - **pr-outreach** — Distribution strategy, PR angle identification, media pitch framework, partner co-marketing opportunities, and external publication targeting
[{"step":"Gather Inputs: Collect the following details from the client or internal team: company name, product/service used, challenge faced, solution implemented, results achieved, and a client testimonial. Use a template or questionnaire to ensure consistency.","tip":"If the client is unavailable, use publicly available data (e.g., press releases, LinkedIn posts) to infer challenges and results. Tools like Google Alerts or Mention can help track client updates."},{"step":"Structure the Case Study: Organize the content into a headline, executive summary, challenge, solution, results, and testimonial. Use bullet points for clarity and bold key metrics to highlight impact.","tip":"For B2B case studies, focus on ROI, time savings, and scalability. For B2C, emphasize customer satisfaction and real-world benefits. Tools like Canva or Adobe Express can help design a visually appealing layout."},{"step":"Add Visuals: Include charts, graphs, or before/after comparisons to illustrate results. For example, a bar chart showing spoilage reduction or a timeline of the project.","tip":"Use tools like Excel, Google Sheets, or Tableau to create visuals. Ensure they are high-resolution and aligned with the company’s branding guidelines."},{"step":"Refine and Validate: Review the case study for clarity, conciseness, and accuracy. Share it with the client for approval and incorporate any feedback. Aim for a tone that is professional yet engaging.","tip":"Use AI tools like Grammarly or Hemingway Editor to check for readability and grammar errors. For tone, read it aloud to ensure it sounds natural and compelling."},{"step":"Publish and Promote: Share the case study on the company website, social media, and email newsletters. Tailor the messaging for different audiences (e.g., prospects, investors, employees).","tip":"Optimize the case study for SEO by including relevant keywords (e.g., \"AI-driven supply chain solutions\"). Use LinkedIn or Twitter to tag the client and industry influencers for wider reach."}]
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git clone https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/case-study-planCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
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Draft a compelling case study for [COMPANY_NAME] highlighting their success with [PRODUCT/SERVICE]. Include the following details: [CHALLENGE_FACED], [SOLUTION_IMPLEMENTED], [RESULTS_ACHIEVED], and [TESTIMONIAL_FROM_CLIENT]. Structure the case study with a headline, executive summary, challenge, solution, results, and client quote. Aim for 500-700 words.
### **How GreenLeaf Farms Doubled Efficiency with AgriTech Solutions** **Executive Summary** GreenLeaf Farms, a mid-sized organic produce distributor based in California, struggled with inefficiencies in their supply chain and inventory management, leading to a 20% loss in revenue due to spoilage and missed deliveries. After implementing AgriTech Solutions’ AI-driven inventory and logistics platform, GreenLeaf reduced spoilage by 45%, improved on-time delivery rates to 98%, and increased overall operational efficiency by 35%. This case study explores how the partnership transformed their business. **The Challenge** GreenLeaf Farms faced three critical challenges in 2023: 1. **Spoilage**: 20% of their organic produce spoiled before reaching retailers due to poor demand forecasting and inefficient storage. 2. **Logistics Delays**: Missed delivery windows resulted in penalties and lost contracts with high-value clients like Whole Foods and Kroger. 3. **Data Silos**: Disconnected systems between sales, inventory, and logistics teams led to inconsistent reporting and reactive decision-making. "We were losing thousands of dollars every month because we couldn’t predict demand or optimize our routes," said Maria Rodriguez, Operations Director at GreenLeaf Farms. "Our old system was a patchwork of spreadsheets and guesswork." **The Solution** In Q1 2024, GreenLeaf partnered with AgriTech Solutions to deploy their AI-powered platform, which included: - **Predictive Analytics**: Machine learning models analyzed historical sales, weather patterns, and market trends to forecast demand with 92% accuracy. - **Dynamic Routing**: The platform optimized delivery routes in real-time, reducing fuel costs by 18% and cutting travel time by 25%. - **Inventory Automation**: Automated reordering and storage alerts prevented overstocking and spoilage, saving an estimated $120,000 annually. - **Unified Dashboard**: A single, real-time dashboard gave all teams visibility into sales, inventory, and logistics, eliminating data silos. **The Results** Within six months of implementation, GreenLeaf saw measurable improvements: - **Spoilage Reduction**: Organic waste dropped from 20% to 11%, saving $85,000 in Q2 alone. - **On-Time Deliveries**: Delivery success rates improved from 78% to 98%, resulting in a 15% increase in repeat business from major retailers. - **Cost Savings**: Fuel and labor costs decreased by 12%, contributing to a 10% boost in net margins. - **Employee Productivity**: Time spent on manual reporting and troubleshooting fell by 40%, allowing the team to focus on strategic initiatives. **Client Testimonial** "AgriTech Solutions didn’t just give us a tool—they transformed how we operate," said Rodriguez. "Their AI-driven insights helped us anticipate demand like never before, and the dynamic routing feature alone saved us over $50,000 in fuel costs last quarter. We’re now positioned to expand into new markets with confidence." **Conclusion** By leveraging AgriTech Solutions’ AI platform, GreenLeaf Farms not only solved their immediate operational challenges but also laid the foundation for scalable growth. Their story is a testament to how data-driven decision-making can turn inefficiencies into competitive advantages. *For more information on AgriTech Solutions’ AI-driven supply chain platform, visit [agritechsolutions.com](https://agritechsolutions.com).*
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