Product Marketer at Tetriz
Divya Sadanandan
Divya is a product marketer at Tetriz focused on product positioning, go-to-market strategy, and evidence-led content for AI-native teams.
Her work spans growth, product marketing, content strategy, and translating technical products into clear decisions for buyers and practitioners.
Areas of expertise
- Product marketing
- Go-to-market strategy
- AI products
- Content strategy
Experience and credentials
- Named a Top 100 PMM globally by Product Marketing Alliance in 2025
Authorship and accountability
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Articles by Divya Sadanandan
How to measure AI coding tool ROI for engineering teams
Four signals measure AI coding tool ROI reliably: cycle time reduction, story-point velocity per FTE, deploy-to-fix latency, and code review time compression. Combined, they isolate whether AI tooling spend is producing engineering outcomes or just inflating activity dashboards.
DORA metrics explained, and why they break at AI-first teams
DORA metrics are four engineering performance measures validated across thousands of organisations as the industry standard for benchmarking software delivery performance. In 2026, they remain necessary but no longer sufficient.
The four categories of enterprise AI and why engineering needs its own
Enterprise AI categories split into four types, and most purchasing conversations conflate all of them. A CTO who cannot tell these apart will spend budget on a tool that delivers seat usage dashboards when what the board actually needs is session-level attribution.
Prompt-to-PR attribution: what it is, why GitHub cannot track it, and how to evaluate it
Prompt-to-PR attribution connects the engineer's AI coding session to the pull request it produced. It links AI input quality, agent-authored code percentage, and review outcome in a single dataset. No engineering intelligence tool instruments at this layer today.
What are DORA metrics? The engineering metric AI just broke
DORA metrics are four validated measures of software delivery performance. In 2026, 85% of developers regularly use AI coding tools and the four metrics were designed for a world where engineers wrote every line. That assumption no longer holds.
AI code quality metrics beyond DORA: the CTO's guide
Your board is asking for AI ROI numbers. Your traditional DORA metrics cannot produce them. Here is why and what a credible measurement framework looks like instead.
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