Create a Deep Research Feishu Docv2.0.0

VC analysts use this skill to generate deep research reports on potential investment targets, such as startups or emerging technologies. It automates data collection from multiple sources, ensuring up-to-date financial and market data for due diligence and investment decisions.

Tech companies employ this skill to analyze competitors by gathering recent performance data, product updates, and market trends. It helps in strategic planning and identifying gaps in the competitive landscape, with reports structured for easy sharing via Feishu.

Business development teams use this skill to research new markets, including regulatory environments, consumer trends, and local competitors. It provides comprehensive reports that support decision-making for expansion plans, with data validated for timeliness.

Researchers in academia or think tanks utilize this skill to compile data for industry reports, such as on sustainability or economic trends. It ensures data integrity through automated checks and generates structured documents suitable for publication or internal review.

Product managers apply this skill to assess the feasibility of new products by researching market demand, technical requirements, and competitor offerings. It streamlines the research phase, producing detailed reports that inform go/no-go decisions and resource allocation.

Offer this skill as part of a subscription-based SaaS platform for research teams, charging per report or monthly fee. It targets enterprises needing automated, compliant research workflows, with revenue from tiered plans based on usage and depth levels.

Integrate the skill into consulting firms' toolkits to enhance client deliverables, such as investment or market analysis reports. Revenue comes from service fees charged for comprehensive research projects, leveraging the skill's automation to reduce manual effort.

License the skill to large corporations for internal use by departments like R&D or strategy, with one-time or annual licensing fees. It supports compliance with strict API usage and data validation, generating revenue from enterprise-scale deployments.