Shipping a SaaS MVP in 90 Days Without Building Debt You'll Regret
Decide what you're actually testing
An MVP is an experiment, and experiments need a hypothesis. 'Will people pay for this' needs payment and onboarding but almost no admin tooling. 'Can we solve this workflow better than a spreadsheet' needs depth in one workflow and nothing else. 'Will enterprises buy this' needs SSO and a security posture that survives a questionnaire, which is a fundamentally different build. Most 90-day failures come from teams building the union of all three because nobody made the choice explicit at the start.
Corners worth cutting
Skip the custom design system and use a good component library — you can restyle later and users do not reward bespoke buttons. Skip real-time where polling works. Skip the admin panel and run operations from database queries or a generated admin. Skip multi-region deployment. Skip granular permissions until a customer asks. Skip a mobile app; a responsive web app is enough to test demand. Every one of these is a week or more, and none of them are what your hypothesis is about.
Corners that will cost you
Tenant isolation, authentication and the billing data model are the three you cannot retrofit cheaply. Getting tenancy wrong means a rewrite the first time a customer's data appears in another's account, which is also potentially a reportable incident. Authentication built by hand tends to accumulate quiet holes; use a managed provider. And billing edge cases — proration, plan changes, failed payments, tax — are far easier to design in than to reconcile after six months of live subscriptions with inconsistent records.
Boring technology, deliberately
A 90-day build is the wrong place to evaluate a new framework. Pick a mainstream stack your team already knows, a managed Postgres, a managed deployment platform, and a small number of well-supported services. The novelty budget for the project should be spent on the product idea, which is where the actual uncertainty is. Every unfamiliar tool costs you days you did not schedule and support you cannot get quickly.
Instrument from day one
You are running an experiment, so the measurement is not optional. Activation rate, time to first meaningful action, retention at week two and four, and where people drop out of onboarding. Add error tracking and basic performance monitoring on the first deploy, not the last. Teams that launch without analytics spend the following month arguing about anecdotes from three customer calls, which is a slow and expensive way to learn what a funnel would have told you in a day.
Plan the hardening phase into the schedule
Ninety days to launch, then a deliberate four to six weeks after first customers to pay down the debt you knowingly took on — proper permissions, the admin tooling, the test coverage, the deployment pipeline. Naming that phase up front is what separates intentional speed from accumulating mess. If it is not on the plan, the next feature will take its place and the debt compounds until velocity collapses somewhere around month eight.
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