StoriesOnBoard MVP Hub
Everything you need to scope, validate, and launch your Minimum Viable Product — powered by user story mapping & AI.
AI-powered MVP Assistant
Generate a right-sized MVP scope in minutes.
Answer a few questions and our AI will propose user stories, priorities, and a clear action plan — so you can focus on building, not guessing.
How the MVP Assistant can help you in finding the Unique Selling Point of your product
-> 1 <- Helps you defining the problem the user is facing
-> 2 <- Detail the target customer
-> 3 <- Summarizes the main purpose of the product
-> 4 <- Gives you a summary of your concept with improvement ideas
-> 5 <- Defines possible user journeys for the USP feature
-> 6 <- Brainstorms user stories for the feature
-> 7 <- Provides a seamless connection to backlog that can be integrated to your favorite issue tracker
Plan and track visually with story mapping
StoriesOnBoard turns feature lists into interactive story maps that align your team around user goals. Slice your map into releases, prioritize efficiently, and launch your product as soon as possible.
🤖 MVP scope gatekeeper
🤖 Must-Have vs Nice-to-Have splitter
🤖 MVP success metrics
🤖 Feature toggle plan
🤖 Post-MVP iteration ideas
-> User story map is a backlog that everybody understands
-> High-level overview of the product
-> Visual way of managing user journes, priorities, releases,
-> Can be integrated to the most popular issue trackers
-> AI assistant that understands product management
-> StoriesOnBoard AI writes efficient user stories
-> Collects acceptance criteria or test cases
-> Can be extended by any custom AI functions you need
Guides & Resources
📘 Impact vs. Effort matrices for fast feature triage
📘 Aligning product roadmaps with company OKRs
📘 Balancing technical debt and speed in early sprints
📘 Estimating MVP timelines without over-promising
Validation & Growth Metrics
📘 Smoke-Screen landing pages: gauging Interest overnight
📘 Wizard-of-Oz MVPs: When “Fake It” beats “Build It”
📘 Cohort analysis for early-user retention
📘 North-star metrics: Choosing one metric that matters
📘 Setting up A/B tests with minimal traffic
📘 Customer development interviews: Question sets that dig deeper
📘 Interpreting activation, engagement, and churn data
📘 Pivot or persevere? Decision frameworks for founders
📘 Preparing for scale: Transitioning from MVP to V1.0
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Learn how to create your MVP in 14 days
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