Case Study Writing

Create compelling B2B case studies with research and visuals via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Research the customer's industry
infsh app run tavily/search-assistant --input '{
  "query": "SaaS customer onboarding challenges 2024 statistics"
}'

Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.

The STAR Framework

Every case study follows: Situation -> Task -> Action -> Result

Total: 800-1200 words. Longer loses readers. Shorter lacks credibility.

Structure Template

1. Headline (Lead with the Result)

❌ "How Company X Uses Our Product"
❌ "Company X Case Study"

✅ "How Company X Reduced Onboarding Time by 60% with [Product]"
✅ "Company X Grew Revenue 340% in 6 Months Using [Product]"

The headline should be specific, quantified, and state the outcome.

2. Snapshot Box

Place at the top for skimmers:

┌─────────────────────────────────────┐
│ Company: Acme Corp                  │
│ Industry: E-commerce                │
│ Size: 200 employees                 │
│ Challenge: Manual order processing  │
│ Result: 60% faster fulfillment      │
│ Product: [Your Product]             │
└─────────────────────────────────────┘

3. Situation

• Who is the customer (industry, size, location)
• What relevant context existed before the problem
• 1-2 sentences of company background

4. Task / Challenge

• Quantify the pain: "spending 40 hours/week on manual data entry" not "had data problems"
• Show stakes: what would happen if unsolved (lost revenue, churn, missed deadlines)
• Include a customer quote about the frustration

5. Action / Solution

• What was implemented (your product/service)
• Timeline: "deployed in 2 weeks" / "3-month rollout"
• Key decisions or configurations
• Why they chose you over alternatives (briefly)
• 2-3 specific features that addressed the challenge

6. Results

• Before/after metrics — always quantified
• Timeframe — "within 3 months" / "in the first quarter"
• Unexpected benefits beyond the original goal
• Customer quote about the outcome

Metrics That Matter

How to Present Numbers

❌ "Improved efficiency"
❌ "Saved time"
❌ "Better results"