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Blog : All Posts

Blog

5.13.26 Read Time: 2 Mins

What to Measure Instead of Deflection: The Engagement Framework

Stop measuring defection and start measuring engagement – here is how.

5.5.26 Read Time: 4 Mins

The Hidden Risk in Measuring Deflection: Why AI Makes It More Dangerous

For decades, support organizations have measured deflection as a success metric. High deflection rates meant customers were finding answers on their own. Self-service was working. Support was becoming more efficient. …

4.28.26 Read Time: 4 Mins

Stop Measuring Deflection

Stop measuring Deflection and start measuring Engagement.

4.27.26 Read Time: 2 Mins

The Five Foundations of AI-Enabled Support Success

Sustainable AI success in support is not an initiative. It is the result of intentional leadership applied consistently across five dimensions.

Read Time: < 1

From Cost Reduction to Revenue Growth — What Salesforce’s AI Journey Tells Every Support Leader

If support cannot align to growth — if it remains defined by ticket volume and cost per case — AI can do that work at lower cost. Support becomes a …

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 …

4.18.26 Read Time: 2 Mins

AI “Efficiency” Layoffs: Short-Term Gain, Long-Term Revenue Risk

Companies are announcing AI-enabled layoffs justified by efficiency gains. If they can demonstrate comparable renewal rates and stable NRR in eighteen months, the efficiency claim is valid—until then, it’s cost …

4.16.26 Read Time: < 1

10 Questions Every Support Leader Should Answer

Beyond support operational metrics are the hidden treasures that describe the impact support has on the business.  To reveal support’s value to the business start by answering these questions.

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 …

4.2.26 Read Time: 3 Mins

Not Every Battle Is Worth Fighting – Choose Carefully

Strategic support leadership advances when leaders decide which battles to engage — and which to leave untouched.

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 …

3.23.26 Read Time: < 1

The Deflection Gap

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

The CCO Challenge: Retention in a Company Built for Acquisition

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

Activity is visible. Impact is not.

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

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 …

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