Define feature success metrics using the STEDII framework.
npx skills add https://github.com/coalesce-labs/catalyst --skill feature-metrics
Please help me install this Agent Skill. Skill: feature-metrics Source: https://github.com/coalesce-labs/catalyst/tree/main/plugins/pm/skills/feature-metrics Command: npx skills add https://github.com/coalesce-labs/catalyst --skill feature-metrics
Defines a structured approach to quantify feature success using the STEDII framework for trustworthy experiment metrics.
Tell me the feature name and target outcomes to begin defining primary metrics.
High-intent search queries and answers about installing and using this skill.
Trustworthy feature metrics are defined using the STEDII framework to establish a primary metric, guardrails, and kill criteria aligned to your North Star goals. This structured approach quantifies feature success and validates product impact for experiments.
The STEDII framework is a structured approach to quantify feature success for product launches and experiments. It establishes a primary metric, guardrails, kill criteria, a measurement plan, and alignment to North Star and business context.
Setting up kill criteria and guardrails involves defining a structured measurement plan that aligns with North Star goals and business context. This approach mitigates risk by establishing thresholds to validate feature impact.
Yes, you can define metrics for a PRD before a product launch. The framework applies structured analysis across product management workflows to establish primary metrics, measurement plans, and data sources for experiment decisions.
To start building a measurement plan, you need to provide the feature name and target outcomes. This initiates the definition of primary metrics, guardrails, dashboard guidance, and data sources for experiment decisions.
You should use a structured framework for product data analysis when quantifying feature success for new features, PRD metrics, or product launches. It ensures experiment metrics are trustworthy and aligned with business context.
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pisithrpsSelect experiment metrics using the STEDII framework with planning data.
