strategic-research-automation-template
🥈SilverAutomate strategic research with this GitHub template. Uses Claude Code to autonomously gather, analyze, and report on market trends, competitive intelligence, and business opportunities. Ideal for operations teams needing data-driven insights.
1930Updated 2mo ago
Intermediate30min to implementautomation
Saves ~80 min per use
Quick InstallView Source
git clone https://github.com/o2alexanderfedin/strategic-research-automation-template.gitWorks with:
Claude
Overview
About This Skill
This template uses Claude AI to autonomously conduct strategic research across 8 specialized roles: opportunity discovery, technical research, market analysis, solution architecture, compliance review, roadmap planning, report synthesis, and sprint orchestration. After answering initial questions about your company and research goals, the automation discovers strategic opportunities, researches regulations and market size, analyzes competitors, and generates 10-page professional reports with scoring and recommendations. It produces 25-38 research files per opportunity, exports to PDF/Word/Markdown, and publishes results automatically. Designed for consulting firms, product teams, investment firms, business development, and innovation teams that need data-driven insights without manual research overhead.
How to Use
["1. **Set Up the Repository:** Clone the `strategic-research-automation-template` from GitHub into your organization’s repository. Ensure you have admin access to install dependencies (e.g., Python, BeautifulSoup, Pandas).","2. **Customize the Prompt:** Replace [MARKET/INDUSTRY SECTOR], [COMPANY NAME], and [SPECIFIC INSIGHTS NEEDED] in the prompt template with your research focus. For example, use '[AI-Powered Customer Support Tools]' for the market and '[Company Name]' for your firm.","3. **Run the Analysis:** Execute the prompt in Claude Code within the repository. Use the `--auto-run` flag to enable autonomous data collection and analysis. Monitor progress via the terminal logs.","4. **Review and Refine:** After generation, manually verify critical data points (e.g., pricing, feature lists) for accuracy. Adjust the prompt if the output lacks depth or specificity.","5. **Distribute the Report:** Export the final report as a PDF or Markdown file. Share it with stakeholders via Slack/Teams or embed it in your internal wiki. Use the `generate-report` script in the template to automate formatting."]
Use Cases
Consulting firms generating client proposals and strategic recommendations
Product teams evaluating market entry opportunities and competitive positioning
Investment firms performing due diligence and opportunity assessment
Business development analyzing partnerships, M&A targets, and market expansion
Tags
Setup & Installation
Quick Install
No install command available. Check the GitHub repository for manual installation instructions.
Alternative Install (Git Clone)
git clone https://github.com/o2alexanderfedin/strategic-research-automation-templateRequirements
- Claude Code or compatible AI agent
- Works with: Claude
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Use the strategic-research-automation-template to autonomously research and analyze [MARKET/INDUSTRY SECTOR] for [COMPANY NAME]. Focus on identifying [SPECIFIC INSIGHTS NEEDED: e.g., emerging trends, key competitors, market gaps, or regulatory changes]. Generate a structured report with actionable recommendations for [DEPARTMENT/TEAM: e.g., product, marketing, or strategy]. Include data sources, key findings, and next steps. Run the analysis in a dedicated GitHub repository using Claude Code for automation and reproducibility.
Example Output
### Strategic Research Report: AI-Powered Customer Support Tools (2024) **Generated on:** June 10, 2024 **Analyst:** AI Research Assistant (strategic-research-automation-template) **Repository:** `company-name/ai-customer-support-research` --- #### **Executive Summary** The AI-powered customer support tools market is projected to grow at a **CAGR of 22.3%** through 2027, driven by demand for 24/7 multilingual support and cost reduction. Key findings include: - **Top 3 Competitors:** Zendesk AI (42% market share), Freshdesk AI (28%), and Intercom Fin (15%). - **Emerging Trend:** Integration of generative AI for dynamic response generation (e.g., contextual troubleshooting). - **Market Gap:** Lack of enterprise-grade solutions offering real-time sentiment analysis with <100ms latency. #### **Methodology** 1. **Data Collection:** Scraped public data from Crunchbase, G2, and company websites (May 2024). 2. **Analysis:** Used Claude Code to parse unstructured data, identify trends, and benchmark features. 3. **Validation:** Cross-referenced findings with industry reports (Gartner, Forrester). #### **Key Insights** | **Metric** | **Zendesk AI** | **Freshdesk AI** | **Intercom Fin** | |--------------------------|----------------------|----------------------|----------------------| | **Pricing (Enterprise)** | $120/user/month | $99/user/month | $149/user/month | | **AI Features** | Chatbot, Ticketing | Chatbot, Knowledge Base | AI Agent, Workflows | | **Sentiment Analysis** | Basic (75% accuracy) | Advanced (88% accuracy) | Premium (92% accuracy) | **Opportunity:** Develop a niche tool targeting mid-market companies with **<500 employees** needing **high-accuracy sentiment analysis** at a competitive price ($79/user/month). #### **Recommendations** 1. **Product:** Launch a beta version of the sentiment-focused tool by Q3 2024. 2. **Marketing:** Target SaaS companies with >100K monthly support tickets. 3. **Partnerships:** Collaborate with CRM providers (e.g., HubSpot) for integrations. --- **Next Steps:** - Share this report with the Product and Marketing teams by EOD. - Schedule a workshop to prioritize features based on the sentiment analysis gap. - Update the GitHub repository with raw data and analysis scripts for transparency. **Sources:** [List of URLs or datasets used]. --- *This report was generated autonomously using the strategic-research-automation-template and Claude Code. For questions, contact the Operations Team.*
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