ThePowerOfAnalytics_ClaudeSkills

Transform analysis findings into clear, actionable executive summaries using the MAIN framework (Motive, Answer, Impact, Next steps) and Pyramidal Principle. Use when completing any analysis that needs stakeholder buy-in, preparing for leadership meetings, documenting investigation findings, writing business reviews, creating post-mortems, proposing initiatives based on data, or communicating insights to executives.

Transform analysis documents into structured presentation slide plans. Use when users need to convert markdown analysis documents into presentation decks, create slide-by-slide breakdowns with specific slide types and content structure, or plan presentation flow from analytical content. Outputs detailed slide specifications including slide types (Cover, Executive Summary, Text, Chart, Section) and all required content elements for each slide.

Structure analysis investigations before diving into data, preventing wasted time and ensuring thoroughness. Use when users need to plan any significant analysis, investigate KPI changes, respond to stakeholder questions, plan feature/experiment analysis, or when previous analyses were unfocused. Helps define clear goals, generate testable hypotheses, create systematic analysis roadmaps, identify required data, estimate timelines, and prevent analysis paralysis.

Transform completed analysis work into structured, communication-ready documentation by conducting guided conversations that extract key findings, evidence, and recommendations. Use when a user has completed an analysis (typically following an analysis plan created by the analysis-planner skill) and needs to document results, create findings summaries, build executive reports, or prepare analysis outcomes for stakeholder communication. This skill systematically gathers what was tested, what was found, and what should be done next, then generates a professional markdown document ready for distribution.

Intelligent entry point to the analytics ecosystem based on "The Power of Analytics" book by Florian Bonnet. Guides users to the right analytics agent based on their needs, recommends workflow sequences, and provides clear instructions for launching agents. Use when users need help choosing between analytics agents, want to start an analytics project but aren't sure where to begin, or ask "what can you help me with" in an analytics context. Also use when users mention analytics tasks like defining metrics, planning analysis, collecting results, creating presentations, or writing executive summaries.

Identify and analyze qualitative factors that influence KPIs but can't be measured as numbers. Use when users need to find non-quantifiable drivers affecting metrics (like copy quality, design aesthetics, timing), plan A/B tests for subjective elements, bridge the gap between data and design/content decisions, understand why quantitative analysis is incomplete, optimize messaging or UX elements, or identify the actual levers to pull for improving KPIs at the leaf nodes of a KPI tree.

Build comprehensive KPI trees from North Star metrics. Use when users need to decompose metrics into hierarchical driver structures, create MECE (Mutually Exclusive, Collectively Exhaustive) breakdowns, identify leverage points, map performance drivers, or prepare for root cause analysis. Essential for setting up analytical foundations after defining a North Star metric.

Strategic framing and KPI setting specialist that helps identify and validate the single most important metric capturing customer value delivery and predicting business success. Use when starting a new team or product, when existing product lacks clear success metric, when team seeks to define what success means, or when metrics don't align with customer value and/or business goals.

Track customer behavior over time by grouping customers based on shared characteristics or experiences. Use when measuring retention rates, understanding how customers evolve over time, comparing new vs old user behavior, evaluating product changes by cohort, identifying at-risk cohorts early, or calculating LTV by cohort. Essential for understanding retention, lifecycle patterns, and how product changes affect different user vintages.

Identify, analyze, and act on customer segments to uncover hidden patterns and understand behavior differences. Use when investigating KPI changes to understand which customers drove them, planning targeted initiatives, building customer personas, or analyzing performance differences across groups. Helps select meaningful segmentation dimensions, create actionable segments, analyze performance differences, calculate segment contributions, and generate segment-specific recommendations.