Starting point
Building from scratch an SRS that’s actually alive instead of a glorified Google Doc is exactly what our teams need. We’ll go a bit beyond the obvious and focus on features that change behavior, not just formatting.
1. Core idea shift (why it beats a shared doc)
A shared document is:
- linear
- passive
- easy to ignore inconsistencies
Your app should be:
- structured
- validated
- traceable
- collaborative with guardrails
Think: SRS as a system, not a file.
2. Features that genuinely add value
2.1 Structured requirements (not free text)
Instead of one big markdown blob:
- Atomic Requirement blocks
- ID (REQ-001)
- Type: Functional / Non-functional / Constraint
- Priority (MoSCoW)
- Status (Draft / Approved / Deprecated)
- Rationale
- Acceptance criteria (Gherkin-like)
- Enforce structure, but allow rich text inside fields
Juniors learn how requirements are written, not just what they are.
Trend tie-in: “Docs as data”, schema-first documentation.
2.2 Requirement validation & linting
This is a big differentiator.
Examples:
- Detect:
- ambiguous words (“fast”, “user-friendly”, “should”)
- missing acceptance criteria
- requirements without priority
- Warnings like ESLint, but for SRS
This turns the app into a teaching tool.
Modern angle: AI-assisted linting (not auto-writing, but reviewing).
2.3 Traceability matrix (auto-generated)
Classic SRS pain point.
Link:
- Requirements → Use cases
- Requirements → ERD entities
- Requirements → API endpoints
- Requirements → Test cases (future)
Auto-generate:
- Traceability table
- Or interactive graph view
Shared docs don’t do this without becoming a mess.
2.4 ERD as a first-class citizen
Schema loading.
Ideas:
- Import Prisma schema → auto-generate ERD (Mermaid or custom)
- Click entity → see related requirements
- Highlight:
- entities without requirements
- requirements without data model impact
Juniors visually learn how requirements affect data design.
2.5 Living diagrams (Mermaid++)
Beyond static Mermaid blocks:
- Parameterized Mermaid diagrams
- Toggle layers:
- conceptual ERD
- logical ERD
- Inline references:
- clicking a diagram node opens related requirements
Trend: diagrams as interactive components, not screenshots.
2.6 Change impact analysis
This is huge.
When a requirement changes:
- Show impacted:
- ERD entities
- other requirements
- diagrams
- Force a short “impact note” before saving
This mimics real-world engineering discipline.
2.7 Versioning that makes sense
Not just Git-style diffs.
- Version SRS by milestones
- Compare versions:
- “What changed in requirements?”
- “What entities were added?”
- Rollback individual requirements, not whole doc
Trend: domain-level versioning instead of raw text diffs.
2.8 Review & approval workflow (lightweight)
For juniors, this is gold.
- States: Draft → In Review → Approved
- Inline comments on:
- requirement fields
- diagrams
- Simple approval rules:
- e.g. “2 approvals needed”
Teaches real SDLC flows early.
3. Smart exports (Markdown / PDF, but better)
3.1 Export profiles
- “Academic SRS”
- “Client-friendly”
- “Internal dev”
Each profile:
- includes/excludes sections
- reorders content
- changes wording density
Shared docs can’t do this cleanly.
3.2 Deterministic exports
Export is:
- reproducible
- versioned
- tied to a specific SRS version
No more “which PDF did we send?“
4. Subtle but powerful UX ideas
4.1 Guided SRS creation
Wizard-like flow:
- Scope → Stakeholders → Requirements → Data → Constraints
- Prevents juniors from jumping straight to features
4.2 Contextual hints
Inline tips like:
“Non-functional requirements should be measurable.”
Not intrusive, just there.
5. Stack-aligned ideas (React / Next / Prisma / Postgres)
Backend / Data
- Postgres JSONB for:
- requirement metadata
- diagram configs
- Prisma schema → ERD auto-sync
- Soft deletes + history tables for traceability
Frontend
- Block-based editor (Notion-like, but constrained)
- Mermaid rendered client-side with AST access
- Graph view with something like d3 / reactflow
Optional modern spice
- Local-first draft mode (IndexedDB)
- CRDT-based collaboration (Yjs) later on
- AI only for:
- linting
- ambiguity detection
- change summaries (not generation)
6. Features I’d avoid (especially for juniors)
- Full WYSIWYG chaos
- AI “write the SRS for me”
- Overly complex workflows
- Too many diagram types initially
Simplicity + correctness > flexibility.
7. Positioning sentence (useful for focus)
“An SRS tool that teaches good requirements engineering while producing professional documentation.”