Define the question your MVP must answer
Write one learning goal. Examples: Will agencies pay to turn a spreadsheet into a client portal? Will tutors use a tool that creates and tracks lesson plans? A focused question makes feature decisions much easier.
Choose one primary user and one job
Multiple user types multiply screens, permissions and edge cases. Begin with the person whose problem creates the strongest reason to use the product. Give that user one complete journey from entry to outcome.
Separate must-have from reassuring
Must-have features make the promised outcome possible: authentication when accounts are necessary, storage when information must persist, payment when willingness to pay is the test. Reassuring features such as elaborate settings, multiple themes or advanced analytics can usually wait.
Use AI in short build loops
Ask for a coherent piece, test it, then continue. Keep a written acceptance list so a later change does not silently break something that already worked. When the AI makes a broad change, retest the critical path.
Launch to a small, relevant group
Five people with the problem can teach you more than a large audience that does not care. Observe whether they understand the product, reach the intended outcome and come back without being coached.
Decide what happens next
If users complete the core job but request the same missing capability, that is evidence for the next iteration. If they never reach the outcome, fix the path before adding breadth. If the problem itself is weak, more features will not rescue it.
Use the SaaS MVP checklist before launch and the SaaS validation guide before investing heavily.