brainstorm-experiments-existing

Generate structured experiment candidates for existing product workflows.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/tylersahagun/elmer --skill brainstorm-experiments-existing-tylersahagun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brainstorm-experiments-existing
Source: https://github.com/tylersahagun/elmer/tree/main/.cursor/skills/brainstorm-experiments-existing
Command: npx skills add https://github.com/tylersahagun/elmer --skill brainstorm-experiments-existing-tylersahagun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps product teams systematically generate and structure experiment ideas to improve established features or workflows within a product.

Core Features & Use Cases

  • Experiment Ideation: Generates practical experiment options based on provided product context.
  • Structured Output: Organizes experiment candidates for clear review and selection.
  • Use Case: After analyzing user feedback that indicates a drop-off in a specific user flow, use this Skill to brainstorm A/B tests that could address the identified friction points.

Quick Start

Use the brainstorm-experiments-existing skill to generate experiment options for improving the user onboarding flow.

Frequently Asked Questions about brainstorm-experiments-existing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I brainstorm A/B tests for existing product workflows?

Brainstorm A/B tests by inputting product metrics, assumptions, and user signals to generate structured, actionable experiment candidates for iterative product development. The system organizes these options for clear review and selection.

What is the best way to design experiments for established product features?

Design experiments for established features by applying this generation process to optimization cycles, which structures experiment candidates specifically to enhance existing surfaces based on provided product context.

How do I structure experiment ideas to address user drop-off?

Structure experiment ideas by providing user feedback and friction point signals as input, which generates practical A/B test options organized for clear review to address the identified drop-off.

What inputs do I need to generate experiment options for product improvement?

Generating experiment options requires input artifacts such as product metrics, assumptions, and signals, which the system processes to produce actionable experiment candidates for product improvement.

Can I use this workflow optimization process for iterative product development?

Yes, this workflow optimization process applies directly to iterative product development cycles, generating and structuring experiment candidates to enhance existing product workflows and surfaces.

How do I ideate experiments for a user onboarding flow?

Ideate experiments for a user onboarding flow by inputting related metrics and assumptions, which produces structured experiment options designed to enhance and optimize the established onboarding workflow.