A focused SaaS for service requests
Turn a useful workflow into a first product without building every possible feature.
What is difficult today?
Requests arrive through messages and spreadsheets. The coordinator has to reconstruct who is responsible, whether the customer was contacted and what happened last. The first product does not need a complete ERP. It needs a reliable path from a new request to an accountable resolution.
The Product specification captures customer isolation, assignment rules and meaningful statuses. The first Project builds a request list, detail view and assignment flow with protected data and history. Later Projects can add scheduling or integrations without redefining the core behavior.
A sequence with accountable decisions.
The owner defines the target. The engineering work keeps the relevant business rules and returns evidence at each acceptance boundary.
Define one complete journey
Who submits, who assigns and who closes the request?
Specify and plan
Model roles, records, statuses and acceptance examples.
Build the first workflow
Implement the request, assignment and history surfaces.
Review real evidence
Check persisted records, permissions and desktop/mobile use.
Approve the deployment
Choose the release and verified hosting destination.
Data, rules and proof—not only screens.
Data involved
- Organizations, customer records and service requests.
- Assignment, status history and permitted attachments.
Rules to preserve
- One customer cannot read another customer’s requests.
- Closing a request records who decided and when.
- Attachments do not become public by guessing a URL.
Evidence to inspect
- Create a valid request and reload it.
- Reject a cross-customer read and update.
- Show a clear validation error without losing the draft.
- Open the workflow on a narrow screen.
Owner decisions
- Which statuses are necessary for the first release?
- What must remain outside the first Project?
A first release that stays small
Start with the request record rather than a list of dashboard widgets. A customer submits a description, the coordinator assigns a responsible person and the technician records a result. The status history needs to explain who made each transition. A successful first release demonstrates that sequence with representative records, including a missing required field and an unauthorized read attempt. Those examples turn a broad product ambition into a bounded Project.
The Architect should distinguish decisions from implementation details. Which statuses matter is an owner decision; the database representation can be a technical choice. A new scheduling idea should not silently delay the request workflow. It becomes a later Project that inherits the same customer isolation and history rules. After deployment, observe whether users can complete the intended job. A visually convincing first screen is not customer validation, and Forge does not replace the founder’s work of learning from users.
Follow a related example from start to release.
A worked example showing decisions, implementation and verification.
The video could not be loaded. Try again later.
Prepare the next decision.
Write a product brief an AI team can actually use
Start with the customer job, define the boundary and turn vague wishes into observable outcomes.
Read the guide →A founder needs execution capacity, not always a larger org chart
Separate missing expertise from missing time before choosing how to build a software product.
Read the guide →A working homepage is not a production-ready application
Review the saved state, permissions and failure paths behind the first convincing interface.
Read the guide →Start with a product.
Keep building a business.
Bring an idea or the software you already own. Give the next improvement a clear path from intent to evidence.