Description

What happens when a client asks for the latest tech trend, like GenAI, but you suspect it's not what they actually need? It's a classic scenario that can lead to wasted time, bloated budgets, and solutions that miss the mark entirely.

In this episode, tech consultants Ben Griswold and Noah Heldman tackle the "solution-first" trap. They share a revealing story of a client who was ready for a full, costly application rewrite, only to discover that the real issues could be solved with just 15-20 hours of focused bug fixes. The conversation explores the art and science of true discovery: asking the right questions, shadowing users to find hidden pain points (like a 14-hour-a-week data entry problem), and shifting the focus from a predetermined solution to the actual business problem.

In This Episode, You'll Learn:

• The danger of the "solution-first" mindset and why clients often propose solutions instead of problems.
• Practical techniques for uncovering the real problem, including shadowing users and asking "why" multiple times.
• The story of how a few bug fixes saved a major app rewrite and gave a key employee 14 hours back every week.
• Why defining and measuring success with clear metrics is critical before starting any project.
• How to apply technology (like APIs or AI) as a targeted tool for maximum impact, not just a buzzword.

Connect with Us:

Ben Griswold | Grizen: https://grizen.com

Noah Heldman | Outcome Source: https://outcomesource.com