Automate weekly SaaS product health reviews by analyzing KPI data against targets.
npx skills add https://github.com/robotijn/ctoc --skill product-reviewer
Please help me install this Agent Skill. Skill: product-reviewer Source: https://github.com/robotijn/ctoc/tree/main/skills/product/product-reviewer Command: npx skills add https://github.com/robotijn/ctoc --skill product-reviewer
Product teams often struggle with inconsistent, untracked product reviews that fail to tie metrics to clear targets, leading to blind spots in product performance, missed drop-off points in user funnels, and unactionable insights that don't drive improvement. This skill eliminates that guesswork by automating structured, target-aligned weekly product reviews.
Use the product-reviewer skill to run your weekly product review for your SaaS project using the latest PostHog and Stripe data, and get a structured report with KPI status, funnel insights, and prioritized improvement hypotheses.
High-intent search queries and answers about installing and using this skill.
Automate weekly product reviews by pulling KPI data from PostHog and Stripe, comparing metrics against predefined targets, and generating color-coded status reports. This eliminates manual guesswork and instantly identifies underperforming SaaS metrics for your team.
Funnel drop-off analysis identifies the largest user drop-off points in your activation funnels. By segmenting B2B metrics by plan tier or company size, it detects Simpson's paradox risks and surfaces weak user groups requiring immediate product intervention.
Yes, PostHog and Stripe data integrate directly to render cohort retention triangles and track user groups over time. This setup helps spot weakening retention early and assesses churn root causes against your predefined SaaS KPI targets.
Generate testable improvement hypotheses by analyzing KPI variances and funnel drop-offs to surface 2-3 prioritized recommendations. Each hypothesis includes assigned owners and due dates, writing action items to a tracked YAML file for cross-review follow-up.
Yes, the product review process tracks action items by writing them to a YAML file with assigned owners and due dates. This ensures cross-review follow-up and can dispatch experiment design workflows to test the recommended product changes.
Simpson's paradox segmentation checks are needed when aggregate B2B metrics show positive trends but underlying segments perform differently. Segmenting by plan tier or company size during product reviews prevents misleading conclusions about SaaS user retention and activation.
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