Description

She said she didn't have time. She'd been saying it for months.

Her manager had heard it so many times that she wasn't sure what to believe anymore. Was the workload genuinely unmanageable? Was this a performance issue? Was something else going on entirely? She had tried applying more pressure. She had tried granting more latitude. Neither conversation went anywhere.

What she hadn't tried yet was data.

In this episode, I share the story of my client Katie, who was coaching for performance with a team member who consistently said she was overwhelmed and couldn't meet her targets. Katie had done her homework. Others had held this role and delivered. The workload wasn't new. Something specific was happening, and the only way to understand it was to stop guessing and start looking.

The tool she used was a time audit, a structured log of where the hours were going. Not where the employee thought they were going. Not what felt true. What actually happened, tracked in real time, over a month.

What the data revealed changed everything. When Katie and her employee sat down to review the analysis together, it was the first conversation they'd had that wasn't one narrative against another. The data was the third party in the room.

I also talk about why I want every leader who is considering assigning a time audit to a team member to do one herself first. You need to know what it actually feels like — the friction, the surprises, the patterns you weren't expecting to find — before you can coach someone else through it.

And I talk about the principle that guides all of this: BI before AI. Business intelligence before artificial intelligence. AI can do extraordinary things with data. What it cannot do is manufacture data that was never collected. The time audit creates the raw material. Then the technology can do its job.

In this episode:

• Why "I don't have time" is almost always a data problem and the three responses most leaders reach for that don't solve it
• How Katie used a one-month time audit to shift a stalled coaching conversation into one grounded in shared facts
• Job creep: what it is, why it's so common, and how a time audit makes it visible
• Why you should do your own time audit before you assign one to anyone on your team
• BI before AI, which is the sequence that makes AI analysis genuinely useful, and what gets skipped when leaders go straight to the technology
• BONUS: The two time audit tools I've created — one for the leader's own audit, one for a team member — and the AI analysis prompt that works with both. You can download them for free by clicking here.

This week's permission: Stop negotiating between two narratives. If "I don't have time" has become a recurring theme on your team or in your own work, get the data before you make another move. Do your own audit first and then let the facts lead the conversation. The data doesn't take sides. That's exactly why it works.