Project guide
How to prepare a custom software project before requesting proposals
You do not need a fifty-page technical specification. You need to explain the problem, users, constraints and the change you expect to achieve.
1. Define the problem without prescribing the solution
Start by describing what happens today, who experiences it and its consequence. “We need an app” is an assumed solution; “technicians lose two hours each day coordinating jobs through messages” is a problem that can be investigated and measured.
This distinction leaves room for a simpler response. A complete application may be right, but an automation, internal tool or better integration might be enough.
2. Identify real users and journeys
List the people who will use the product and each person’s main task. Customers, operators and administrators usually need different information and permissions. Mapping the current journey exposes exceptions hidden by feature lists.
- What starts the process?
- What information enters and who validates it?
- What decisions or state changes occur?
- When is the task considered complete?
3. Separate the useful minimum from future ideas
An MVP is not the entire product delivered at lower quality. It is the smallest version that completes the main flow and tests the most important risk. Sort capabilities into essential now, useful later and assumptions not yet validated.
This prioritisation makes development proposals comparable and preserves budget for discoveries made during the project.
4. Make data and integrations visible
State which tools the team uses, where data lives and which systems must communicate. Integration with invoicing, payments or an external provider can shape the project more than several screens.
The team should examine API quality, permissions, usage limits and failure behaviour. Hiding this dependency until late creates the most expensive surprises.
5. Agree how success will be measured
Define an observable signal: less time completing a task, fewer errors, more qualified enquiries or recurring adoption. Avoid abstract goals such as “digital transformation” that cannot guide priorities.
The measure informs design and helps you decide after launch whether to expand, correct or stop a line of work.
6. Share constraints openly
Budget, target date, legal requirements, available people and existing technology are part of the problem. Hiding them does not improve the proposal; it forces suppliers to imagine scenarios and lowers accuracy.
A good software company in Andorra or elsewhere should explain which decisions affect cost, where uncertainty remains and how delivery can be divided to validate early.
7. Evaluate the process, not only the price
Compare whether the proposal understands the problem, challenges assumptions and defines responsibilities. Ask how deliveries are validated, how decisions are made and what you receive if the collaboration stops.
Initial price matters, but real cost depends on the ability to change with judgement. A team that makes risk visible and keeps the product simple protects the investment better.