𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗖𝗼𝘀𝘁 𝗼𝗳 𝗖𝗹𝗶𝗺𝗯𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗿𝗼𝗻𝗴 𝗟𝗮𝗱𝗱𝗲𝗿

I watched an executive team’s faces drain of color as they realized their $200,000 software implementation solved exactly none of their actual business problems. Eight months of work, countless meetings, and a mountain of expectations – all pointed at the wrong target.

This wasn’t an anomaly. It was the third time that quarter I’d witnessed this particular flavor of corporate tragedy.

The most expensive technology failures rarely happen because the code breaks. They happen in boardrooms when someone finally asks, “Wait – what problem were we trying to solve again?”

→ Technology decisions often start with shiny solutions rather than clearly defined problems

→ The executives who appear most decisive are sometimes the least likely to question fundamental assumptions

→ Implementation partners have a vested interest in selling you what they know, not what you need

What fascinates me about these situations is how predictable they are. The warning signs appear early – that moment when objectives become fuzzy, when success metrics keep shifting, when team members give each other sideways glances during status meetings.

I’ve guided organizations through hundreds of implementations, and I’ve noticed something crucial: companies that spend 80% of their energy defining the problem and 20% selecting the technology consistently outperform those with the opposite approach.

Before your next major technology decision, stop and ask: Are we absolutely certain we’re solving the right problem? Have we spoken directly with the people who will use this system every day? What business outcomes – not features – will tell us we’ve succeeded?