9. Research & Analysis

Analyzes search volumes, trends, and regional distribution for Russian/CIS markets using Yandex Wordstat data.

Analyzes clinical trial design, enrollment, outcomes, and competitive positioning for monitoring and landscape analysis.

Conducts user research via interviews, surveys, personas, and usability testing to gather insights for product design and strategy.

Conducts patent searches and analyzes FTO, landscape mapping, and competitive IP intelligence to inform strategic business decisions.

Conducts market sizing, epidemiology, and opportunity assessment for drug development to inform investment decisions.

Guides developers through technical investigation, validation, and decision-making to confidently choose architectural approaches and technologies.

Generates professional stock analysis reports to support investment decision-making through AI-driven data analysis.

Searches LinkedIn posts by topic, finds connections by title/company, and retrieves statistics for data-driven business analysis and insights.

Delivers a systematic 6-phase framework for qualitative user research, including bias prevention and reproducibility to validate hypotheses through rigorous analysis.

Guides systematic investigation of open-ended questions by decomposing, mapping to data, and synthesizing findings incrementally.

Summarizes iteration journals to provide actionable progress assessments for open-ended goals.

Systematically compares segments, cohorts, or time periods to identify and explain meaningful differences through fair, apples-to-apples analysis.

Extracts key findings, decisions, and insights from branch iteration journals to understand divergent development work.

Provides comprehensive tools for researching intellectual property data including patents, trademarks, and applications across global databases.

Analyzes arXiv research papers and provides clear, accessible explanations for complex academic content.

Collects research sources and summarizes them for skillstash skill development.

Analyzes blog posts and web articles by fetching content from URLs for information extraction and content review.

Resolves ambiguity by systematically gathering tiered information to clarify unclear requirements, context, or implementation choices without guesswork.

Applies structured mental models to analyze problems, evaluate trade-offs, and support decision-making when users request systematic analysis.

Provides efficient topic research using parallel agents to investigate, compare, and evaluate information on user queries such as 'best X' or 'library for Y'.

Searches Adobe Experience Manager (AEM) documentation to find feature information and implementation guidance when standard web searches fail.

Analyzes Twitter/X threads to extract insights from viral and educational content, providing key takeaways from user-provided threads or URLs.

Analyzes PDF documents including reports, whitepapers, and manuals to extract key information and insights.

Analyzes Hacker News posts and discussions to extract tech community trends and sentiment from user-provided URLs or mentions.