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Supporting discussion and innovation.
In today’s world of super fast AI enabled software delivery lifecycle, senior executives and tech leaders face an enormous challenge of explaining SaaS Productivity. Are we choosing the right strategy (for the right problem)?
"There is nothing so useless as doing efficiently that which should not be done at all." (Peter Drucker; doing the wrong tasks perfectly).
SaaS Productivity
For technology product engineering, Artificial Intelligence (AI) is profoundly altering software engineering within SaaS organisations, shifting the baseline from manual coding to automated task execution and architectural orchestration. While AI assistants and agents yield average individual task productivity gains of 15% to 30%, their holistic impact on SaaS engineering velocity introduces a "productivity paradox" regarding software quality and maintenance.
This structural impact of AI on SaaS product engineering productivity unfolds across several core dimensions.
Productivity
Going back to the fundamentals. A refresher course:
What is Productivity?
What are the different Productivity measures for different industries?
“I thought about being productive today and it’s the thought that counts”