Part 2: Using AI to Improve Requirements—BRDs, User Stories, and Use Cases

Project requirements are the DNA of successful product development, forming the foundation for everything from project timelines to team roles. But in practice, requirements documents like Business Requirements Documents (BRDs), user stories, and use cases are often plagued by vagueness, inconsistency, and even critical omissions. This challenge is especially present in agile environments, where requirements evolve quickly, and the pressure to produce lean, adaptable documentation can sometimes lead to gaps that end up derailing projects. ...more

October 30, 2024 #requirements #quality-assurance #machine learning #continuous-improvement #technology #GIGO #status-reporting #project-governance #project-management #AI #machine-learning #AI in project management #agile

AI-Augmented Sales Engineering

Sales engineering has entered a new era. While intuition and experience once ruled client interactions, today’s landscape combines human expertise with sophisticated AI-driven insights. This transformation is reshaping how vendors connect with clients, particularly in the SaaS space where customization and rapid adaptation define success.

Traditional sales methods are giving way to data-driven strategies. Modern sales engineers leverage behavioral patterns, industry trends, and historical data to craft precise solutions for their clients. This evolution brings both opportunities and challenges, fundamentally changing how vendors build and maintain client relationships. ...more

October 25, 2024 #business #workplace #sales-engineering #technology #SaaS #AI

Part 1: The GIGO Dilemma in Projects and How AI Can Help

In project management, especially in agile frameworks, there’s a fundamental issue that has plagued even the most well-organized teams: the garbage in, garbage out (GIGO) dilemma. At its core, GIGO highlights that poor-quality input results in poor-quality output—an adage true across many domains but particularly devastating in the world of project governance. When requirements are vague, reports are incomplete, or status updates are full of jargon, the results are often wasted time, unclear priorities, and projects that veer off course. As someone with decades of experience managing projects and working closely with agile teams, I’ve seen firsthand the real-world consequences of GIGO. ...more

October 23, 2024 #requirements #user stories #machine learning #quality assurance #project management #continuous improvement #GIGO #AI #AI in project management #agile