Clear user vision and need identification before software development
Problem
Many software projects start without a clear understanding of user needs, resulting in products that become 'solutions in search of a problem,' where features do not match actual requirements. Even though a slow, deliberate formation process can produce durable software, it is often overlooked under time pressure. Additionally, AI-assisted development can speed up building, but without a clear product vision, it remains difficult to ensure reliability and maintainability.
Pain points
- Software products often end up as 'solutions in search of a problem' because user needs are not clearly identified early, leading to mismatched features.
- Without a clear product vision, AI-assisted development cannot produce reliable, consistent software.
- The slow, deliberate formation process that yields durable software is frequently overlooked or skipped under time pressure.
Questions to verify
- Do you typically conduct explicit user research before starting a new software project, or do you jump straight into development?
- How does your team ensure a shared understanding of the product's vision and goals before development?
- How do you currently balance rapid prototyping with building a durable foundation?
Evidence
A surprising proportion of software products, maybe even businesses today, are solutions in search of a problem.
If AI had existed in the early aughts, we could not have accelerated Zotero’s conception, because we did not know exactly what we wanted, and so could not have written coherent prompts for an LLM.
But that slow formation led to software that was durable rather than ephemeral, with a strong foundation that could be built upon.
Disclaimer: this card is distilled by AI from community discussions as “pain point evidence”. It is a starting point for need analysis and validation, not a “validated market need”. AI has analytical limits; please open the original discussion above to manually verify before key decisions.