innovation
Playing to Win, versus Playing Not to Lose
Life is funny. There are always ways to justify nearly anything you want (or don’t want) to do. For example, “The timing is not right” (“We’re not ready,” “The market will be better soon,” “We need to save more,” “We need to staff up first,” etc.) Justifications often include things like “We had a bad experience once” or “We are a very conservative organization” – comments that tend to lean towards risk aversion or a lack of confidence.
I’ve seen this in my own business after a large investment failed to yield the desired results, when I was a regional sales and services leader at a “growth-oriented” software company, and as a consultant. The root cause always varies, but the net effect is that those companies play it safe.
Why is that a problem? It may not be. Being content may not be a bad thing. Sometimes the status quo is enough. Having a reliable schedule, manageable stress levels, sufficient funds, and doing something you like with people you like may be the goal. But not everyone is built that way.
Growth usually means stepping out of your comfort zone, taking on risk, recognizing the need to adapt to stay ahead of the curve, and being OK with uncertainty. It means bringing on people with different backgrounds, skill sets, and perspectives than yourself. It can be very hard – especially if you are used to being in control and having the answers.
For me, the solution was twofold.
- We had to accept failure as an inevitable outcome. I believe this is where a lot of people stop. If you view failure as negative, then everything that stems from it (loss of money, a hit to your ego, and other setbacks) becomes your focal point. Lesson Learned: When you view it as a learning and self-improvement opportunity (“cognitive reframing”), it just becomes part of the cost of getting better.
From your team’s perspective, if everyone is as focused on the journey as you are on the outcome, people tend to view challenges logically rather than emotionally (thereby controlling fear). Success truly is a mental game. - We developed a structured approach for future investments (read more about it here). We treated each new venture like a project. It was focused, analytical, and unemotional. With this approach, speculative investments became easier each time. It’s amazing how that distance also helps switch the focus from risk to reward.
This understanding led to a presentation I gave that helped relaunch a company, helped several clients critically assess the risks and rewards of their plans, and may help someone consider whether they are focused on winning or simply on not losing.
As Richard Branson wrote in his book, Screw It, Let’s Do It: Lessons in Life, “If you opt for a safe life, you will never know what it’s like to win.” So, are you ready to play to win?
Curiosity-Led Execution
Most organizations don’t struggle because they lack solutions—they struggle because they misdiagnose problems. A structured, curiosity-led approach accelerates alignment, reduces rework, and leads to solutions that actually stick.
My Starting Point
I was not a fan of consultants when I first started working with them. Most were arrogant, had limited focus, and viewed problems or goals in isolation. I later learned that the same could be said for salespeople, executives, and more. It had less to do with the role and more to do with how people presented themselves as experts.
Switching to consulting was a tough sell. When I finally accepted a position, I expected to learn proven methodologies from seasoned experts. The lessons I learned weren’t always what I had expected.
Many of the senior consultants I worked with had been highly successful early in their careers. But over time, that success calcified into rigid frameworks and default approaches. They weren’t completely wrong—but they weren’t adaptable or as effective as they could have been, either.
It reminded me of the old metaphor: “If the only tool you have is a hammer, everything looks like a nail.”
At one point, I seriously questioned whether consulting was the right fit for me.
Then I stepped back and looked at the best consultants I had worked with—the ones clients trusted and consistently delivered outcomes. I asked a simple question:
What do they do differently?
The answer wasn’t just expertise. It was curiosity, combined with the desire to deliver a positive experience and tangible outcomes.
From Depth to Insight
Early in my career, I went deep—sometimes excessively so.
I read dozens of manuals for a relational database system, cover to cover, just to understand how it worked. Then I spent years traveling, reviewing its source code at night, trying to understand why it worked the way it did. That understanding led to new ways of optimizing performance.
That effort paid off. I became recognized as an expert for that product, which opened the door to many challenging and exciting consulting engagements.
But it also revealed a limitation: Depth alone doesn’t scale.
What scaled was the mindset that I developed with it:
- Looking beyond surface-level symptoms.
- Viewing problems from a systemic perspective. Understanding how systems interact (not just how they function).
- Asking how and why decisions were made, not just what decisions were made.
I learned to read between the lines—technically and organizationally. To understand not just systems, but the people and processes behind them.
That context is powerful, but difficult to extract—especially quickly.
The Breakthrough: Structured Curiosity
What ultimately worked wasn’t just knowledge. It was a repeatable approach built on three elements:
- Establish credibility
Demonstrate enough expertise early to build confidence. - Lead with curiosity
Ask thoughtful, relevant questions that show genuine interest—not interrogation. - Close the loop
Articulate your understanding back to stakeholders to confirm, refine, or challenge it.
This creates a feedback loop:
Curiosity → Insight → Validation → Alignment
That loop is where trust—and progress—happens.
A Practical Tactic: The “Columbo Technique”
One of the most effective tools I’ve used is commonly called the Columbo Technique.
The idea is simple: Lower defenses by creating psychological safety—and a sense of control.
Instead of pushing for answers, you:
- Ask informed questions
- Make partial observations
- Then, intentionally leave a gap
Something like:
“I might be missing something, but I’m not fully connecting how X impacts Y…”
This does two things:
- Signals humility (reducing resistance)
- Invites correction (which reveals deeper truth)
People tend to open up—not because they’re forced to, but because they want to contribute. They feel safe because you are focused on understanding the situation and solving the problem, and not pointing fingers or assigning blame.
And once that happens, you get access to what actually matters: the “why” behind the “what.”
Applying This in the Real World
This approach works across consulting, sales, and leadership—but only if you apply it deliberately.
Here’s how to operationalize it:
1. Start Broad Before Going Deep
Don’t jump to solutions. Map the landscape first:
- Stakeholders
- Systems
- Constraints
- History
2. Use Their Language
Mirror terminology and examples. It builds alignment faster than forcing your own framework.
3. Validate Early and Often
Don’t wait until the end to present conclusions. Share evolving understanding:
- “Here’s what I think I’m seeing…”
- “Does this match your experience?”
- “Can you help me identify reasons why this might not work?”
4. Balance Confidence with Curiosity
Too much confidence shuts people down.
Too much curiosity erodes credibility.
The balance is where influence lives.
5. Optimize for Adoption, Not Perfection
The best solution is the one that gets implemented and sustained—not the one that looks best on paper.
A great example of this is at a large insurance company, where I led a successful 18-month redesign and implementation of a common Risk Management System used across three distinct businesses.
Before I came, they spent two years and several million dollars with a Big 5 Consulting company. The output was several 3” binders filled with specifications, definitions, and design documents. It was amazing, but wasn’t implementable. I have seen that far too often on consulting engagements.
A section in the middle of this post describes what happened with that project.
Make It Repeatable with the CLEAR Framework
This is a simple, reusable model that can help anyone new to a company or role.
The C.L.E.A.R. Framework
C — Credibility
- Establish baseline trust quickly.
- Demonstrate you “speak their language.”
L — Learn
- Map systems, stakeholders, constraints, and history.
- Ask high-quality, layered questions.
E — Expose
- Surface gaps, contradictions, hidden dependencies.
- Use techniques like the “Columbo Method.”
A — Align
- Play back understanding.
- Build shared clarity before prescribing.
R — Recommend
- Deliver solutions optimized for adoption and results, not elegance alone.
Why This Matters
Knowledge explains. Curiosity transforms. When you lead with curiosity, you move faster—not slower.
You avoid rework.
You uncover hidden constraints early.
You gain stakeholder alignment before decisions are locked in.
And occasionally, you can help solve problems that have existed for years—in a matter of weeks—because you’re solving the right problem.
If this sounds interesting and you would like to discuss it further or seek out assistance, contact me here.
Leading Next-Generation Sales Teams: The Mandate for Predictable Revenue
The sales landscape has fundamentally shifted. I keep reading posts and stories about AI replacing sales teams, and it may be for more commodity-type sales, but it will be some time before it replaces Enterprise sales teams. Building relationships and trust is the foundation for an executive to take a risk on your product, especially when it is critical to their success. AI is not yet at that level, and as behavior changes with every key release, building trust in AI will be challenging for many years to come. But today, AI can be a powerful enablement tool for your team when leveraged correctly.
Your prospects no longer need salespeople for information; they need us for Insight. They have done their research. They expect their time to be an investment, not a discovery exercise. Does your presence and knowledge project confidence and inspire trust? Does the prospect view you as someone interested in helping their business, or just someone trying to close a deal? Impress them, and you could earn the opportunity to dig deeper. Disappoint them, and good luck recovering.
Two years ago, I was selling to a Fortune 100 Financial Services company. I understood their business needs, and we met them easily. We demonstrated that we could take a key manual process that typically took 7 weeks to complete, automate it and maintain full compliance, and complete the task within 10 minutes. The SVP told me his priorities for selecting any new vendor were: 1 – Company Stability; 2 – Relationship with the Vendor; 3 – Product Quality; 4 – Product Value to their business; and 5 – Total Solution cost. Before selling their IP, the company fired the sales team, and the remaining execs stepped in and offered the deal at an even greater discount. It never sold because the executive team didn’t understand what mattered to this buyer. The company had a high-level relationship with the stakeholders, but lacked the trust and credibility that I had built over several months. This is one of the main reasons why I believe AI won’t take over Enterprise Sales anytime soon.
So, how do you get it right?
The question for every CRO or VP of Sales isn’t whether their team is busy, but whether their activity is revenue-focused and drives predictable, scalable results. There’s plenty of money to be made, but following the same old tired formulas seldom works.
For leaders aiming to build next-generation teams that deliver zero surprises in the forecast, the approach must be recalibrated around three core pillars: Strategic Preparation, High-Agency Coaching, and Outcome-Focused Messaging (“context”). It is much more than cold calling for two hours a day or having 5-10 meetings per week. Those things matter, but they are just activities if you are not targeting the right companies and people, or if your team blows it once you have found them. This will be a significant cultural shift for many companies.
Strategic Preparation: From “Discovery” to “Insight”
When a prospect books a meeting, they are giving us one of their most precious assets: time. If we treat that time as a standard discovery call, we set negative expectations, which signals the lack of perspective (the ‘P’ in PIE) and perceived value. This isn’t theory—it’s the PIE framework (Perspective, Insight, Experience) I’ve used for years to sell large deals, turn around at-risk customers, and scale teams.
The C-Suite Mandate: Accelerate deal velocity by focusing on specific quantifiable impact for your prospects, and increase win rates by targeting identifiable business pain.
- Come with an Understanding of their Market, Changes, and Competition. Before the first call, we must show we’ve already invested time in understanding their operational constraints, competitive pressures, and budget priorities. The goal is to move the conversation immediately from the tired, “What keeps you up at night?” to “We have seen [problem] with companies in your industry. Is that something you have experienced or have concerns about?”
- Long Discovery Calls or Presentations Typically Won’t Work. Customers are fatigued by generic questions. Every interaction must be purpose-driven and meaningful. If the call runs longer than planned, it must be because the conversation has become mutually valuable, not because the seller was ill-prepared and just kept talking.
- Discussions Must Be Targeted to the Problems They Are Most Likely Experiencing. This is where we leverage Insight (the ‘I’ in PIE). Use your background and AI to hypothesize the top three pain points before you dial. Our role is to validate these points, quantify the impact, and then introduce a Shared Vision of Success (our solution) anchored by measurable business outcomes.
Player-Coach: Enhancing Team Capabilities, Not Just Motivating Activity
If you are a sales leader who only focuses on closing your team’s most challenging deals, you are creating a dependency, not a capability. A Player-Coach must be accountable for the team’s numbers and its health. That can be a big job.
The C-Suite Mandate: Drive organic growth by building repeatable processes and cultivating high-agency talent.
- Not a One-Size-Fits-All Proposition. True coaching is not a template. It requires a methodical but human approach to diagnostics. That takes time, effort, and a genuine desire to help people grow.
- Identify Skills Gaps and Tailor Efforts. Test skills, identify gaps, and create targeted efforts to build skills that address someone’s specific deficiencies. This personalized attention builds the high-performance culture and accountability required to sustain long-term success.
- Leverage the Team – Role Playing and Team Reviews. We must create a culture where knowledge sharing and feedback loops are the norm. Leverage team reviews and structured role-playing to sharpen execution. This is how we transform luck into a predictable process.
Give teams the latitude to adjust their messaging and test approaches. Adapt messaging to business trends, changes in the competitive landscape, and changing terminology. Then, have your team share their experiences and findings (good and bad) for review, feedback, and refinement. Structured agility helps your team maintain its competitive edge.
The Leadership Mandate: Context Over Content
We are past the AI hype cycle. The C-Suite doesn’t care about the tool; they care about the ROI and the risk of poor execution. As leaders, we cannot just hand our teams a login and say, “Go use AI.” That’s a recipe for chaos and a quick erosion of professional credibility. We must lead by example.
We need to teach our teams that AI generates content (not always accurate), but humans provide context. The two work hand-in-hand.
- Do use AI to deepen your understanding of the prospect’s industry so you can become a true consultant. Use the technology to gain understanding and market intelligence and tie it to your Experience (the ‘E’ in PIE) as preparation before any call.
- Don’t use AI to automate a thousand bad emails. Mass communication is cheap; individualized insight is priceless.
- Do use AI to research the one hundred prospects that actually matter. Focused efforts yield significantly better results.
- Don’t use AI to fake expertise. This can quickly kill credibility, as any good consultant will tell you.
The “Million Dollar Deal“ isn’t won by a bot. A human wins it by understanding the nuances of the prospect’s business, building trust, and navigating the internal structure and politics. AI is simply the tool that clears the path so you can do that work faster and with better data. AI is leverage, not a crutch.
Call to Action: Are You Building a Team or a Capability?
The next-generation sales leader understands that customer success is at the heart of everything we do. We win when they succeed. Your most valuable asset isn’t your pipeline—it’s the predictable capability of the individuals on your team. Consistently doing the right things is critical to success.
The challenge for every business leader today is this: Are you enabling your teams to sell like consultants, or are you still measuring them (and driving their behavior) on activity-based metrics? Focus on building intelligent and creative teams that deliver consistent results with zero surprises. It doesn’t happen overnight, but it is an investment in your future success.
Let’s discuss how we can implement the PIE framework and position your team to deliver scalable, organic growth.
The Power of Storytelling
Discussions of data and goals in business are common, but not always engaging. Even worse, it becomes routine and is ignored. Without a vision, heart, and excitement, motivation wanes, and the likelihood of success diminishes.
Stories evoke emotions, and emotions often trump logic when it comes to getting buy-in and creating excitement. Stories help with visualization, and visualizing success has been shown to enhance goal achievement. Think about the power of good TED Talks to help with understanding and retaining ideas.
Steve Jobs realized that people are drawn to engaging stories that evoke emotion. He created relatable scenarios that helped people understand the benefits of a technologically advanced solution without having to dive deep into the technology. He spoke about things that were fun, exciting, and useful. He was visionary, but just as important, he could share that vision and create demand. Relatability and engagement, when done right, create an emotional attachment that drives action.
When my team and I were selling a leading-edge vector analytics database years ago, our Marketing team and other experts wanted us to focus on what later became known as “speeds and feeds.” Our product was more advanced than the competitors’, but our message was undifferentiated. That is not a good place to start when your competitors are larger and better known.
I created a weekly webinar that we called “Why Fast Matters.” We started by discussing common issues around the complexity and inflexibility of Star Schemas, Fact Tables, pre-aggregation, specialized hardware, and more. The focus was on agility that created a tangible business advantage while saving money. One of the stories I would tell was around a beautiful, multi-layered cake. It is a thing of beauty, taking a lot of time and skill to create. It was also fragile and expensive.
The story concluded like this:
“Now, picture yourself taking a bite of that amazing cake with your eyes closed. Think about how rich, flavorful, and amazing it is. Then someone hands you a fork, and you take another bite. It is just as amazing. You open your eyes and see a plated piece of the amazing layer cake alongside a cupcake. They were both delicious, and with your eyes closed, the results were the same. But one was complex and fragile, and the other was simple, quick, and inexpensive. There is a time and place for each, but when you are betting your success on an outcome, do you really care how you get there?”
We closed with a brief explanation of the technology, real-life proof points, and a call to action to prove its effectiveness in their environment using their data. The close helped demonstrate that this was not just a made-up story, but rather, something that could become their own success story. This was a straightforward approach to getting people to try something they might never have considered otherwise.
Essentially, you are shifting the audience’s mindset from how something gets done (means objective) to what matters and why it needs to be done (fundamental objective). People tend to have preconceived ideas about how the solution should work, often based on what they are familiar with. Once the audience visualizes a desirable outcome, they become more open to different approaches.
I have successfully used these approaches with more complex products, such as an advanced Kubernetes platform, object databases, a multi-platform data integration product, and the world’s first commercial JDBC driver. It is also an effective way to motivate teams. Create a vision of successfully executing a plan, how good it feels to achieve your goals, and what it could mean for each person—an area they develop as their minds elaborate and personalize the story.
Some of the most effective and engaging people that I have known are skillful storytellers. Not everything has to be a story, but when you use it at the right time, it can mean the difference between moving closer to your goal and being just one of many ideas or solutions.
You may not be the next Steve Jobs (I’m certainly not), but you could easily stand out from your peers and competition. Share your story in the comments below!
Six Ways AI Can Become a Sales Management Enhancer
As a VP of Sales, I would spend the first 60-90 minutes of every day reviewing a dozen news sources for new technology, competitor announcements, proposed legislation, and M&A news. I looked for anything relevant in critical industries, news about our customers or their top customers, and staffing changes within their companies.
My goal was to identify anything that could negatively impact deals in play, threaten the customer base, disrupt the run-rate business, or create opportunities to break into a new company or displace a competitor. You feed your findings and speculations back to your team, along with suggestions, talking points, or specific directions to help them maintain or increase their success for the current quarter plus the next few quarters.
You look for trends and leading indicators that could help your team and your organization achieve greater success. Winning feels good, and the rewards drive you to achieve even more.
Artificial Intelligence (AI) can do all this and more. It will be more consistent, analyze information without bias, and do so faster.
1. Automated Intelligence Gathering
Focus your efforts where they add the most value. AI can automate the collection and analysis of data from multiple sources, including news feeds, legal updates, social media, and competitor websites. This automation can save considerable time and minimize the chances of missing relevant information. Natural Language Processing (NLP) can identify, categorize, and correlate relevant information, providing actionable insights without manual review.
2. Enhanced Lead and Opportunity Identification
In addition to the correlations above, Machine Learning (ML) models can analyze trends and patterns in data to identify potential leads or opportunities for expansion. By understanding market movements, customer behaviors, historical behavior, and presumptive competitor strategies, AI can suggest new targets for sales efforts and highlight areas where teams could gain a competitive edge.
3. Improved Internal Communication and Collaboration
Sales is not just about selling; it also requires internal collaboration to create the best possible products and services and identify the best approaches to generate awareness and interest in your offerings.
AI systems can serve as a central hub for information that benefits various departments within a company. By integrating with CRM, marketing, support, and other internal systems, AI can distribute tailored information to different teams, ensuring everyone has the best insights to perform their roles effectively and promoting a more cohesive, coordinated approach to achieving long-term business objectives.
4. Forecasting and Predictive Analytics
With the ability to process vast amounts of data, AI should significantly improve forecasting accuracy. Predictive analytics can estimate future sales trends, customer demand, and market dynamics, giving businesses more opportunities to make better-informed decisions—leading to better resource allocation, optimized sales strategies, and, ultimately, higher revenue.
5. Increased Efficiency and ROI
By automating routine tasks and providing deep insights, AI can free up sales and management teams to focus on strategic activities. The efficiency gains from AI can result in significant cost savings and a higher return on investment (ROI) as teams do more with less, capitalize on opportunities faster and more effectively, and ultimately make more money for themselves and their company.
6. Continuous Learning and Improvement
Machine learning models will improve over time as they process more data, meaning the insights and recommendations provided by AI will become increasingly accurate and valuable, helping businesses continuously refine their strategies and operations for better outcomes. AI will also provide constructive feedback and suggest next steps in real time, helping everyone using it upskill.
Future Perspectives
While AI may not yet be ready to take over complex roles like enterprise sales, its potential to enhance these roles is undeniable. As AI technology continues to evolve, its ability to provide highly accurate forecasts, improve win rates, shorten sales cycles, and enhance competitiveness will only grow. The future of AI in sales and business management is not just about automation; it’s about augmenting human capabilities to create more effective, efficient, and thriving organizations that can compete in an increasingly competitive global landscape.
So, what do you think? Will this work? Will it be good enough if everyone is doing it? Leave a comment and let us know.
Where Ideas, Experiences, and Lessons Learned Intersect 