How can we Product and Engineering leaders at investor-backed companies keep the product roadmap on track?
Why does this matter?
Of course, building great products for users is satisfying in its own right and avoiding unnecessary meetings (one of our intermediate goals in the product) is a delight and at the organizational level, when Delivery teams can ship products on time/ahead of schedule, leading to new revenue, it can have a huge positive impact on exit valuations.
OVERVIEW
Product Roadmap Radar
The Product Roadmap Radar was designed specifically to help product teams keep roadmaps on track by...
Automating alignment detection between product & engineering systems (Jira, Code, and coming soon, PDFs such as roadmap docs)
Providing early warnings about delivery timeline shifts
Reducing meetings through automated insights and asynchronous communication tools
Simplifying reporting for stakeholders at all levels.
Key Features for Product / Engineering Teams
- Delivers prioritized information about victories and high-priority topics
- Includes "Anomaly Insights" that identify significant patterns or changes
- Features "Skip a Meeting" functionality with audience-specific messages to facilitate asynchronous discussions
- Prioritizes insights on a 1-10 scale so leadership knows what requires attention
- Combines JIRA and code data to track progress on initiatives and epics
- Provides estimated completion dates with explanations
- Highlights potential misalignments between JIRA tickets and actual development work
- Creates automated summaries for standups and reporting
- Automatically categorizes code into 8 categories (feature enhancements, tech debt, bug fixes, etc.)
- Tracks how development effort is distributed across these categories over time
- Provides detailed examples of work in each category
- Evaluates JIRA ticket quality to improve team alignment
- Uses a 1-100 scoring system to measure ticket completeness
- Helps calibrate expectations between product and engineering teams
How It Works
The Sema Intelligence Platform uses AI to automatically:
Read and understand code content (not just comments)
Process JIRA data regardless of board setup
Correlate between these data sources without manual configuration
This AI-driven approach eliminates the need for painful cross-walking or manual configuration of different JIRA boards and repositories.
Important Note
Our platform adheres to the "Feldman Doctrine" - we believe code is a craft, not a competition.
This means no individual developer metrics or "spying." All analysis is at the team and system level to promote healthy collaboration.