Insights on requirements engineering, product management, and building better software — from the team behind Shivo.
Research consistently shows that poor requirements are the #1 cause of project failure. We break down the data, identify the most common failure patterns, and show how AI-powered validation can catch these issues before a single line of code is written.
A requirement that can't be tested is a requirement that can't be verified. Learn the SMART framework for requirements, see real before/after examples, and discover how to transform vague statements into measurable acceptance criteria.
Product Requirements Document, Technical Design Document, System Design Document — when do you need each? A practical decision framework for engineering and product teams at every stage of development.
From natural language processing to automated ambiguity detection, AI is fundamentally changing how teams write and validate specifications. A deep dive into the current state and where the industry is heading.
We interviewed product leads at 15 high-performing engineering organizations to understand how they approach spec reviews. The common thread? Early validation and structured feedback loops.
User stories are only as good as their acceptance criteria. Learn how Shivo automatically generates testable criteria from high-level stories, and how to refine them for maximum clarity.
When a single ambiguous requirement led to 3 months of rework at a mid-stage startup, they decided to quantify the damage. The numbers are staggering — and completely preventable.
We're excited to launch Shivo, a new tool that generates comprehensive, validated specifications from natural language descriptions. Here's why we built it and what makes it different.
Want to contribute or suggest a topic? Get in touch