Skill UI

Guides SaaS teams through designing cancel flows, save offers, exit surveys, and dunning to stop voluntary and involuntary churn, with targeted questions and reason-to-offer mapping plus post-cancel win-back cues.

Guides optimizing non-signup forms—lead capture, demo, survey, checkout—by minimizing fields, improving layout, validation, and trust signals to boost completion rates.

Automate SurveyMonkey workflows via natural-language commands: create surveys, list and search them, manage collectors, fetch responses, and inspect metadata without leaving your chat context.

An expert guide for SaaS businesses to reduce both voluntary and involuntary customer churn. This skill helps design structured cancel flows, implement dynamic save offers based on exit surveys, and set up systematic dunning sequences for failed payments. Use it when optimizing customer retention, improving billing recovery, or redesigning the entire cancellation journey.

This comprehensive guide serves as an expert resource for maximizing form completion rates across various non-signup business needs, including lead capture, contact requests, checkout flows, and surveys. It covers core CRO principles, field-by-field optimization (e.g., Name, Email, Phone), structuring multi-step forms, improving error handling, and optimizing the final call-to-action button for maximum user conversion.

This skill analyzes raw user research data—including transcripts, survey results, and feedback—and synthesizes it into a structured, actionable report. It identifies key themes, quantifies prevalence, pinpoints critical pain points, prioritizes feature requests, and provides strategic, evidence-backed recommendations for product improvement and development.

A comprehensive guide for structuring marketing research designs, particularly for journals like the Journal of Marketing (JM). It teaches researchers how to select the most appropriate method (e.g., field experiment, survey, panel data, qualitative study) that directly addresses a substantive, managerially relevant claim. The focus is on achieving both internal validity (establishing causality) and external validity (realism in the market), ensuring the method serves the core business insight rather than being an end in itself.

This guide helps researchers select and defend the appropriate empirical methodology for Operations Management (OM) studies. It covers diverse design types—including surveys, archival data analysis, behavioral experiments, field studies, and intervention-based research—ensuring the design is observation-grounded, matches the operational claim, and anticipates rigorous methodological checks.