Archives for Tom Sweeny
4.14.26 Read Time: 4 Mins
Most support teams have data. What they are missing is the business context that makes that data meaningful — and until that gap is closed, attribution is out of reach. …
4.9.26 Read Time: 4 Mins
Support must change now. We have been rooted in what we do and how we do it for so long that the kind of change support needs is difficult. But …
4.2.26 Read Time: 3 Mins
Strategic support leadership advances when leaders decide which battles to engage — and which to leave untouched.
3.31.26 Read Time: 5 Mins
The right data does not just tell you what support does. It tells you what support is worth. This edition introduces the measurement stack that makes that story possible.
3.25.26 Read Time: 2 Mins
Most support teams can describe what support does. Few can prove what it is worth. This edition is about the data gap between activity metrics and attribution — and how …
3.23.26 Read Time: < 1
More than 70% of customers attempt to use self-help, but only a third succeed. A look at why self-help and support content comes up short.
3.21.26 Read Time: < 1
Companies are wired to acquire new customers not keep the ones they have. The proof is where business invest and where revenue comes from. A look at the numbers.
3.20.26 Read Time: < 1
Support reporting makes us look busy. Being busy is not enough. Being valuable is the goal and this requires proof.
3.18.26 Read Time: < 1
A four-step roadmap showing how support leaders can use AI to create capacity, reallocate work to higher-value activities, prove business impact, and become indispensable to growth.
3.16.26 Read Time: 5 Mins
The path to strategic support isn’t about AI deployment—it’s about proving attribution for the value you create today and reallocating resources to high-leverage work, so AI becomes a liberator of …
3.12.26 Read Time: < 1
AI isn’t the real test for support leaders—what leaders choose to optimize with it is.
Read Time: 2 Mins
Companies are deploying AI in support. Some are freeing their teams for complex work focused on delivering customer outcomes. Others are deflecting more cases, cutting costs, reducing headcount.
3.11.26 Read Time: < 1
Most AI strategies for support are focused on efficiency. This can be a problem, learn why.
3.10.26 Read Time: 2 Mins
AI doesn’t replace support because it can do the work better. It replaces support positioned as doing work AI can do. This article examines the choice you’re making right now …
3.6.26 Read Time: 2 Mins
Companies spend multiples more acquiring customers who generate a fraction of the revenue rather than retaining customers who generate most of it.
Read Time: < 1
Most companies are structurally optimized to acquire customers, not keep them successful.
Support helps customers overcome friction, drive adoption and spot patterns that predict churn.
Are you fully leveraging the intelligence sitting in your support organization?