Continue with a RianVibe product
Use a product you built in Vibe Coding or another workflow. You do not need to complete another RianVibe course first.
Turn customer evidence into measured decisions and controlled improvements.
Build a product system that turns customer evidence into measured decisions and controlled improvements.
This practical course connects product truth, customer evidence, metrics, data quality, activation, retention, monetization, product changes, and operating health. You will use AI to organize and challenge the work, then verify important results against evidence you can inspect.
Use one product for the whole course.
Use a product you built in Vibe Coding or another workflow. You do not need to complete another RianVibe course first.
Use a digital product, service, website, workflow, or small business. Little traffic, incomplete analytics, and no revenue are valid starting conditions.
If you have no suitable product, use the fictional Lotus Roast product and its made-up practice data. The case provides inputs, not completed answers.
Six phases turn marketing work into one system.
Choose one product. Separate customer evidence from assumptions and unknowns, then create a clear starting point.
Define useful metrics, plan safe tracking, and verify the records and calculations behind a decision.
Study activation, retention, churn, monetization, and lifetime value without turning incomplete evidence into certainty.
Build a decision-focused dashboard or specification, review current signals, and choose one small learning step.
Choose one product, state its value hypothesis, and create the starting evidence and decision loop for the course.
You will build practical knowledge and reusable saved results for making better-supported product decisions. The course cannot guarantee product-market fit, improved activation or retention, revenue, profit, successful pricing, conclusive experiments, bug-free software, uptime, recovery, or growth.
The course helps you reduce uncertainty. It does not control customers, markets, data volume, provider behavior, or implementation quality. A careful decision to wait, investigate, prepare exact instructions for an owner, or record an unknown can be a valid result.
Write a focused product requirement, define how to check it, test the hypothesis, and plan a limited release with a way back to the previous version.
Connect product health, recovery, roadmap, ownership, and review triggers in one reusable operating system.
Use research and behavior evidence to describe the customer job, review feedback, and define useful product segments.
Define the product lifecycle, connect metrics to the product outcome, and write a hypothesis with safety metrics.
Plan the minimum useful tracking, prepare a safe change or exact owner instructions, and check whether the data can be trusted.
Define, calculate, compare, and document the core metrics used for acquisition, activation, engagement, retention, revenue, and unit economics.
Define an early action linked to customer value, find where onboarding loses people, and choose one focused improvement.
Define meaningful return behavior, compare customer groups over time, and study churn and product activity without hiding uncertainty.
Compare ways the product can earn money, prepare a focused pricing test, and estimate contribution and LTV with visible limits.
Specify a decision-focused dashboard, verify its signals and access states, and run a traceable product review.
Build a list of ideas linked to evidence, compare uncertain priorities, and turn one idea into the smallest complete change that can teach you something.
Turn one small complete change into requirements you can check, a safe Product PRD, and a verified acceptance record.
Choose an honest test method, judge evidence with its limits, and plan who sees a change, which safety metrics to watch, and how to return to the previous version.
Define useful error, availability, backup, and recovery checks and connect them to the product decision view.
Set a capacity-aware operating rhythm, build an evidence-linked roadmap, and assemble the Product System — One Page.