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Blog : Support Leadership, Unfiltered

Category: Support Leadership, Unfiltered

7.15.26 Read Time: 8 Mins

You Don’t Know Your Customers. Your Support Model Proves It.

Most support organizations serve 80% of their customers identically — regardless of growth trajectory, renewal risk, or future potential. The Customer Topography Map reveals the four customer terrains hiding inside …

6.24.26 Read Time: 6 Mins

Where Are You Headed?

Leading support into the future takes two things most leaders never honestly assess: the agency to act and the mandate to matter. Here’s a way to find out where you …

6.17.26 Read Time: 4 Mins

Support — What Is It For?

The capability of support is not in doubt. What is missing is a definition of support’s strategic purpose.

6.9.26 Read Time: 4 Mins

Support Reinvented: The Work That Replaces the Ticket Queue

Support reinvented: Reactive becomes proactive. One-at-a-time becomes at-scale. Satisfaction becomes outcomes. Activity becomes proven value.

6.3.26 Read Time: 5 Mins

Reduce, Redeploy, or Reinvent: How Support Thrives in the AI Economy

AI is making your team more efficient. It feels like a win, it feels like leverage, but efficiency isn’t the win that matters. Every hour AI frees up can go …

5.27.26 Read Time: 3 Mins

AI Efficiency Is a Start. Not a Strategy.

AI is not saving support. It is exposing what support is actually worth to the business — and placing the burden squarely on support leaders to determine which direction that …

4.28.26 Read Time: 4 Mins

Stop Measuring Deflection

Stop measuring Deflection and start measuring Engagement.

4.21.26 Read Time: 3 Mins

Support Is Productive but Inefficient

Support is inefficient. That’s not a criticism of your team or leadership—it has nothing to do with how hard people work or how fast they close cases. The inefficiency is …

4.14.26 Read Time: 4 Mins

Support Has a Data Problem. Fix It First. Prove Value Next.

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

Where We Are, Where We’re Going, and Why It Matters More Than Ever

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 …

3.31.26 Read Time: 5 Mins

Do You Have the Right Data to Tell Support’s Story?

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

From Activity to Attribution: The Measurement Shift That Changes Everything

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 …

3.18.26 Read Time: < 1

Risk to Relevance

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

Risk to Relevance: The Support Leader’s Roadmap

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: 2 Mins

AI Use Cases for Support that Enhance Customer Value

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

What is the Focus of your AI Strategy?

Most AI strategies for support are focused on efficiency. This can be a problem, learn why.

3.10.26 Read Time: 2 Mins

AI Isn’t A Threat. How You Use It Is.

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 …

2.24.26 Read Time: 3 Mins

AI’s Promise, Leadership’s Test

Edition 4 examines the AI divide: some organizations will use AI to elevate support’s strategic relevance, while others will automate activity without improving outcomes.

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