The Roadmap Problem
Every quarter, product teams gather in conference rooms. They debate priorities. They negotiate resources. They emerge with a roadmap that’s already outdated.
By the time you ship Q1’s features, market conditions changed. Competitors launched. Users evolved.
The quarterly roadmap was designed for a world where shipping took months. In the age of AI agents and vibe coding, shipping takes hours.
Enter Continuous Discovery
The best teams we’ve worked with at Clayva don’t do quarterly planning anymore. They do continuous discovery:
- Ship something small (with Claude Code)
- Measure immediately (with Clayva)
- Decide in real-time (with AI Analytics)
- Iterate same-day (back to Claude Code)
This isn’t agile. It’s not even continuous deployment. It’s continuous product discovery.
The Data You Need
Traditional roadmaps required months of research. Surveys. User interviews. Market analysis.
Continuous discovery requires different data:
- Real-time feature adoption
- Instant cohort analysis
- Automated insight synthesis
- Predictive engagement metrics
This is exactly what Clayva’s AI Analytics provides. Ask a question, get an answer, ship a fix—all before lunch.
Making the Transition
You don’t need permission to stop quarterly planning. Just start shipping faster. The roadmap will follow.
