'funnel' 검색 결과

Generate page and component folder structures with a command, keeping related files together by feature. Create tabbed page shells, starter tests, and README files, and register page routes within the supplied frontend structure.

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• Starting a page with a consistent folder structure
• Creating a page shell with multiple tabs
• Adding components within a feature

Turn applications into a ranked shortlist using only the job’s stated criteria, with evidence for each score. Prepare candidate replies, coordinate interview times, and create an onboarding checklist while leaving hiring decisions to the owner.

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• Shortlisting applicants against the job’s stated criteria
• Drafting interview invitations and rejection replies
• Coordinating interview times

Write and improve SQL for major data warehouses, accounting for differences in their syntax. Use it to build analytical queries, translate existing SQL, investigate errors, and review slow queries for performance improvements.

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• Translate SQL from PostgreSQL to BigQuery
• Review slow queries for performance improvements
• Calculate retention rates and funnel conversion

Analyzes marketing campaign data to compare channel contributions, find drop-offs before purchase, and calculate returns and acquisition costs. Uses five attribution models, which assign credit to customer interactions, with results available as readable summaries or JSON.

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• Compare channel contributions across attribution models
• Find where prospects drop out before purchase
• Compare campaign returns and acquisition costs

Assess startup engineering operations across delivery, hiring, team structure, and production practices. Use delivery metrics, hiring conversion rates, and staffing data to identify bottlenecks, estimate candidate needs, and plan management roles and operational improvements.

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• Find where development work waits before release
• Estimate candidate volume needed for hiring goals
• Review team structure and manager hiring needs

Analyze product usage in PostHog and manage experiments, dashboards, surveys, and feature flags, which control feature availability. Use connected tools to investigate user behavior and errors, run queries, and summarize findings with numbers and links.

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• Analyze conversion funnels and user retention
• Manage feature rollouts and A/B tests
• Investigate errors and review session recordings

Review a product experience by walking through its steps and capturing screenshots. Produces an illustrated assessment of usability, design, and accessibility risks, with findings tied to specific screens and clear limits on what was checked.

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• Review a registration or onboarding flow
• Inspect a checkout flow for usability issues
• Assess settings screens and navigation

Analyze Mixpanel data with Python to explore usage trends, conversion steps, returning users, and differences between user groups. Also manage business context documents that explain an organization's structure and goals to AI assistants.

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• Find where users drop out before purchasing
• Compare retention across user groups
• Explore feature usage and revenue trends

Choose metrics for AI product revenue, sales efficiency, retention, and computing costs. Plan dashboards and weekly reviews, assess customer data quality, and decide how to credit marketing and sales interactions for completed deals.

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• Choosing revenue and sales metrics for an AI product
• Planning dashboards for executives and sales teams
• Assessing CRM data quality

Analyze how long visitors take to convert and use those patterns to refine Meta retargeting, advertising to previous visitors. Provides recommended audience windows, confidence levels, spending breakdowns, estimated savings, and bid adjustments based on time since the visit.

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• Setting retargeting windows for a new account
• Reviewing rising retargeting acquisition costs
• Reassessing audiences after product or funnel changes

Analyze Google and Meta conversion journeys from the first ad click to a purchase or inquiry. Identify common paths, drop-offs, campaign contributions, and conversion delays to guide budget and targeting adjustments.

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• Understanding journeys across Google and Meta ads
• Checking campaign contributions before budget cuts
• Analyzing lengthy conversion journeys

Coordinate meta-analysis, which combines results across studies, from data extraction to reporting. Validate effect sizes, check for duplicates and implausible values, and assess how individual studies or publication bias affect the combined result.

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• Validate effect sizes extracted from research papers
• Check duplicate studies and dependent results
• Assess how individual studies affect pooled results

Improve how an open source project introduces itself and guides adoption. Shapes README sections, quickstarts, templates, announcements, and contributor entry points around a clear hook, a runnable example, and an explicit next step.

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• Improving README introductions and quickstarts
• Reviewing starter project templates
• Drafting release announcements and social posts

Publish and schedule content to 15 social platforms through one Upload-Post API call: TikTok, Instagram, YouTube, LinkedIn, Facebook, X, Threads, Pinterest, Bluesky, Reddit, Discord, Telegram, Mastodon, WordPress, and Google Business Profile. Use when the user wants to post or schedule a video, photo carousel, text, or document across several platforms at once, check upload status, pull analytics, or run Instagram comment-to-DM funnels.

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Automate Mixpanel tasks via Rube MCP (Composio): events, segmentation, funnels, cohorts, user profiles, JQL queries. Always search tools first for current schemas.

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Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events. Always search tools first for current schemas.

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Create text-driven visuals in Markdown: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as HTML (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Figures render live. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.

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Read funnels, retention curves, and event data as a designer — separating a design problem from a tracking artefact. Use when handed product data you did not design and asked why people drop off. For choosing what to measure, use `metrics-definition` (ux-strategy); for running a controlled test, use `a-b-test-design` (prototyping-testing).

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Guided journey from an app people sign up for and then quietly abandon to a sealed retention engine with a habit loop, an activated first run, and one metric the whole team trusts. Orchestrates eight skills phase by phase - hooked-ux, improve-retention, continuous-discovery, lean-ux, inspired-product, lean-analytics, microinteractions, drive-motivation - asking the user questions at every decision point and recording results in the project docs/ folder (PRODUCT.md, METRICS.md, GROW-APP-PLAN.md) so the journey resumes across sessions. Use when the user wants to lift activation and retention, design a habit loop, fix a leaky onboarding funnel, or says 'users sign up then disappear'. Do not use to fix broken UX or performance that no engagement mechanic can paper over - run improve-app first; if there is no app yet, use create-app. For one framework in isolation, invoke that skill directly.

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Guided journey from a website with traffic it under-converts to a research-driven growth engine that captures more leads, persuades more buyers, sells a sharper offer, and earns referrals. Orchestrates eight skills phase by phase - cro-methodology, scorecard-marketing, storybrand-messaging, made-to-stick, influence-psychology, hundred-million-offers, contagious, one-page-marketing - asking the user questions at every decision point and recording results in the project docs/ folder (WEBSITE.md, OFFER.md, MARKETING.md, GROW-WEBSITE-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a site that already has traffic, capture more leads, sharpen a weak offer, add referral loops, or says 'my site gets visitors but nobody buys'. If a broken funnel or usability friction is the real blocker, run improve-website first; if there is no site yet, use create-website; for one leaking flow, conversion-optimization. For one framework in isolation, invoke that skill directly.

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When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see retention-optimization. For paywall placement, see monetization-strategy.

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When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.

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Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.

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Help users transition from linear funnel thinking to a loop-based growth model that identifies and optimizes the core engines of their business.

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