Data Science & Analytics
Dashboard Specification Generator
Requirements that developers actually understand
7
VAL
7
FIT
7
EASE
6
ODOO
7
GC
2
RISK
6.7
Score
Why This Workflow Matters
The business case for implementing this workflow.
Dashboard projects fail because of poor requirements. Stakeholders say "I need a sales dashboard" and developers build something that doesn't answer the actual business questions. The requirements gap leads to multiple revision cycles, wasted development time, and dashboards that nobody uses. A proper specification takes 20-40 hours to write — so it rarely happens.
The Bigger Puzzle
How AI + Odoo creates something greater than the sum of its parts.
AI + Odoo Synergy
Specifications stored in Documents become the single source of truth for dashboard development. Project tasks are auto-created for each dashboard component with acceptance criteria from the spec. Knowledge base captures dashboard patterns and reusable components. Dashboards module serves as the target platform, with specifications mapping directly to Odoo dashboard capabilities and custom development needs.
Odoo Apps Activated
Dashboards
Documents
Project
Knowledge
Current Alternatives & Why They Fall Short
The existing solutions and their limitations.
Figma / Sketch for Dashboard Mockups
Design tools used to create visual mockups of dashboards before development.
Figma: $12-$75/editor/month. Sketch: $9-$20/editor/month
Limitations
- Visual mockups without underlying data logic or KPI definitions
- No specification of calculations, data sources, or refresh requirements
- Requires design skills most data teams lack
- Mockups create false confidence — they look right but specification gaps remain
Why RebusAI is Better
RebusAI generates the complete specification — not just how it looks, but how it works. KPI formulas, data source mappings, filter logic, and alert thresholds. The full technical specification that actually prevents rework.
Looker / Sisense Self-Service BI
Modern BI platforms that claim to eliminate the need for specifications through self-service dashboard creation.
Looker: $50,000-$100,000/year. Sisense: $30,000-$80,000/year
Limitations
- Self-service sounds great but still requires clear KPI definitions
- Different users define the same metric differently — no standardization
- Complex dashboards still need developer involvement
- Platform cost is in addition to specification needs
Why RebusAI is Better
Even self-service BI needs agreed KPI definitions and business logic. RebusAI generates the shared specification that ensures everyone measures the same thing the same way. Works with any BI tool, not locked to one platform.
Stakeholder Interviews + Manual Specs
Business analysts conduct stakeholder interviews and manually write dashboard requirements.
$80K-$120K/year for a BI business analyst — Plus 20-40 hours per dashboard spec
Limitations
- Time-consuming manual process
- Specification quality depends heavily on the analyst's skills
- Requirements often incomplete — missing edge cases, calculations, or data source details
- No standardized template or methodology across projects
Why RebusAI is Better
AI-assisted specification that ensures completeness — every KPI has a formula, every visualization has a data source, every interaction is defined. Standardized methodology across all dashboards with analyst time focused on stakeholder relationships, not document writing.
Implementation Approach
How to bring this workflow to life.
Extends the document and technical specification workflow with dashboard-specific templates covering KPI definitions, visualization guidelines, and data source mapping. 2-3 week implementation.
Ready to Build This Workflow?
Turn Dashboard Specification Generator into a competitive advantage with RebusAI + Odoo.
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