Tag: General Management

Testing & learning without measuring experimentation debt is a fail

In the world of data-driven decision-making, experimentation is the backbone of many companies' scale up strategies. Whether it’s testing new product features, channels, marketing campaigns, or experimenting with operational improvements, the ability to experiment and learn quickly is seen as a competitive advantage. More crucially, establishing a plan to measure, validate and collect on the success metrics that helps reduce experimentation debt is an Achilles heel.

However, a critical, often-overlooked issue undermines the effectiveness of these efforts: experimentation debt.

This phenomenon, similar to technical debt in software development, arises when companies neglect the rigor and discipline required to validate and maintain their experimentation frameworks. In fact, studies suggest that nearly 60% of companies fail to validate or backtest their winning experiments, assuming that initial results are bulletproof. The consequences? Overconfidence in flawed conclusions, wasted resources, and eroded trust in experimentation as a tool for growth.

What Is Experimentation Debt?

Experimentation debt refers to the cumulative issues and inefficiencies that arise when experimentation processes are mismanaged, leading to suboptimal outcomes and flawed decision-making. Just like financial debt, it accrues interest over time, with its effects compounding as unchecked assumptions proliferate across the organization.

How Experimentation Debt Builds Up

  1. Failure to Backtest and Validate Results
    Companies often rush to implement "winning" experiments without replication or backtesting in different conditions. What works in one segment, geography, or time period may fail spectacularly when scaled.
  2. Flawed Experiment Design
    Poorly designed experiments—such as those with insufficient sample sizes, inadequate control groups, or confounding variables—can lead to misleading results, creating false confidence in the outcomes.
  3. Short-Term Focus
    Many experiments prioritize short-term metrics like clicks or immediate revenue, ignoring long-term impacts on retention, brand equity, or customer lifetime value.
  4. Inadequate Documentation
    Experiments are often poorly documented, leaving teams without clear learnings or a repository of what worked and why. This leads to repeated mistakes and a lack of institutional knowledge.
  5. Ignoring Negative or Neutral Results
    There’s a bias toward celebrating wins and sidelining experiments with negative or neutral outcomes. Yet, these "non-wins" often contain valuable insights that could guide future efforts.
  6. Lack of Iterative Refinement
    Winning experiments are frequently treated as "one-and-done" solutions. Without further refinement, what was once a great idea can stagnate, leaving value untapped.

The Cost of Experimentation Debt

The consequences of experimentation debt are far-reaching:

  • Wasted Resources: Time, money, and effort are often funneled into scaling initiatives that don’t hold up under broader scrutiny.
  • Eroded Trust: Stakeholders lose confidence in the experimentation framework, viewing it as unreliable or inconsistent.
  • Missed Opportunities: By failing to iterate or learn from mistakes, companies leave growth opportunities on the table.
  • Stagnation: Experimentation frameworks that don’t evolve over time lead to diminishing returns, hindering innovation and progress.

How to Avoid Experimentation Debt

While the risks of experimentation debt are significant, they can be mitigated with the right strategies and mindset:

  1. Validate and Backtest Winning Results
    Before scaling, ensure that initial results can be replicated in different conditions. Backtest experiments to verify their validity over time and across segments.
  2. Enforce Rigorous Experiment Design
    Invest in proper experiment design, with clear hypotheses, appropriate sample sizes, and robust control groups. Engage statistical experts to avoid common pitfalls like false positives.
  3. Track Long-Term Impact
    Extend the tracking period for experiments to understand their effects on long-term KPIs such as retention, lifetime value, and customer satisfaction.
  4. Document and Share Learnings
    Create a centralized repository for experiments. Document methodologies, results, and key learnings to build institutional knowledge and avoid redundant efforts.
  5. Normalize Learning from Neutral or Negative Outcomes
    Treat experiments as learning opportunities, even when the results aren’t positive. Insights from neutral or negative tests can often lead to breakthroughs in future experiments.
  6. Embrace Continuous Improvement
    Revisit and refine winning experiments as conditions evolve. Continuous iteration ensures that initial wins remain relevant and impactful over time.
  7. Monitor the Experimentation Framework
    Regularly audit the experimentation process to identify inefficiencies and gaps. Use dashboards or scorecards to track the health of the framework and hold teams accountable.

The Road to Better Experimentation

Experimentation is one of the most powerful tools in a company’s arsenal, but it’s only as good as the framework supporting it. Experimentation debt can erode trust, waste resources, and hinder growth, yet it often flies under the radar. By recognizing its impact and taking proactive steps to address it, companies can build a stronger, more resilient experimentation culture—one that drives sustainable growth and fosters innovation.

The Evolution and Future of the Stage-Gating Process

A. The History of the Stage-Gating Process

The stage-gating process is a systematic framework for managing innovation, designed to break large projects into phases separated by decision points (“gates”). This methodology was pioneered by Dr. Robert G. Cooper in the 1980s. Cooper, a Canadian academic, introduced the concept in his book Winning at New Products: Accelerating the Process from Idea to Launch, aiming to minimize risk, improve resource allocation, and increase success rates in product development.

Adoption of Stage-Gating

Dr. Cooper’s stage-gating model quickly gained traction among large organizations looking to manage the complexity of product development in an increasingly competitive global market. Companies such as Procter & Gamble, 3M, and DuPont were early adopters, integrating the methodology to ensure that resources were focused on projects with the highest potential for success.

Initially embraced in industries with long product development cycles, such as pharmaceuticals and aerospace, stage-gating was seen as a way to impose discipline on innovation processes. Its success in managing risk and improving cross-functional collaboration led to its adoption across other sectors, including automotive, consumer packaged goods, and technology hardware. By the early 1990s, stage-gating had become a standard best practice for managing high-stakes projects in Fortune 500 companies.

Industries Where Stage-Gating Thrives

Stage-gating has gained prominence in industries where high-risk, high-investment projects are the norm, including:

  • Pharmaceuticals: Drug development cycles spanning 10–15 years require rigorous regulatory compliance.
  • Aerospace and Defense: Safety-critical innovations demand extensive testing and validation.
  • Consumer Packaged Goods (CPG): Companies like Procter & Gamble use stage-gating to maintain a steady pipeline of new products.
  • Automotive: From concept to production, stage-gating ensures thorough evaluation of new vehicle models.
  • Technology Hardware: Innovations like semiconductors and smartphones rely on staged development to manage technical complexity.

B. Benefits and Risks of Stage-Gating

Benefits of the Stage-Gating Process

  1. Risk Mitigation: Stage-gating ensures that only well-vetted projects proceed, reducing the likelihood of costly failures.
  2. Resource Optimization: By filtering out weaker projects early, resources are concentrated on initiatives with higher potential.
  3. Cross-Functional Alignment: Structured gates encourage collaboration and clarity across departments.
  4. Regulatory Compliance: Industries with strict regulatory requirements benefit from detailed documentation and milestone reviews.

Risks of the Stage-Gating Process

  1. Slower Time-to-Market: Sequential decision-making can delay progress, especially in fast-moving markets.
  2. Over-Bureaucratization: Excessive documentation and rigid gates can stifle creativity and innovation.
  3. Inflexibility: Stage-gating assumes a linear progression, which may not suit projects with high levels of uncertainty or evolving requirements.

When to Use and When Not to Use Stage-Gating

Use Stage-Gating When:

  • The project involves high risk or regulatory scrutiny (e.g., medical devices, aerospace).
  • The industry demands long-term planning (e.g., automotive, defense).
  • Cross-functional coordination is essential to success.

Avoid Stage-Gating When:

  • The market or technology evolves rapidly, as in software development or consumer tech startups.
  • The project benefits from iterative, customer-driven development (e.g., agile workflows).

C. Startups Rebel Against Stage-Gating

Why Startups Reject Stage-Gating

Startups, particularly those in hypergrowth or tech, often view stage-gating as incompatible with their need for speed and flexibility. Instead, they favor:

  • Agile methodologies: Emphasizing sprints and iterative progress.
  • Lean Startup principles: Rapid experimentation and pivoting based on feedback.

Companies That Embrace Stage-Gating in Hypergrowth

Some hypergrowth companies successfully adapt stage-gating to balance growth and control:

  • Tesla: Uses a stage-gated process for hardware innovation while incorporating agile elements.
  • SpaceX: Adapts stage-gating to ensure safety and performance in aerospace development.
  • Johnson & Johnson: Combines stage-gating with agile practices for faster innovation cycles in pharmaceuticals and consumer products.

D. Emerging Alternatives to Stage-Gating

New Methods Gaining Traction

  1. Agile-Stage Gate Hybrids:
    • Combine iterative development with gate reviews for projects requiring flexibility and oversight.
    • Example: Iterative prototyping in hardware while adhering to regulatory milestones.
  2. Lean Stage-Gating:
    • Streamlines gates with minimal documentation and faster decision-making.
    • Example: Consumer electronics companies shortening product cycles to align with market trends.
  3. Digital Twins and Simulations:
    • Use virtual models to simulate outcomes and validate designs before advancing stages.
  4. Real-Time Data Integration:
    • Leverage AI and machine learning for predictive analytics, enabling dynamic gate criteria and faster decisions.
  5. Continuous Delivery Models:
    • Focus on incremental delivery of product components, blending agile principles with traditional milestones.

E. Improving Stage-Gating in Your Organization

If your organization relies on stage-gating, here are strategies to enhance the process:

1. Adopt a Risk-Based Approach

  • Implement risk-weighted gates to focus scrutiny where it’s most needed, allowing low-risk projects to progress faster.

2. Integrate Real-Time Analytics

  • Use AI-driven insights to make data-informed decisions at gates and identify potential risks earlier.

3. Foster Cross-Functional Collaboration

  • Invest in tools that enable seamless communication and data sharing across teams, such as integrated project management platforms.

4. Streamline Documentation

  • Create leaner templates for gate reviews, focusing on the most critical information needed for decisions.

5. Embrace a Continuous Learning Culture

  • Conduct post-mortems at each gate to capture lessons learned and refine future stages.

6. Pilot Agile-Stage Gate Hybrids

  • Test combining iterative workflows with milestone-based reviews for faster yet controlled innovation.

7. Incorporate Customer Feedback

  • Include customer insights in gate decisions to align development with market needs.

Conclusion

The stage-gating process, while rooted in traditional innovation management, continues to evolve. For high-risk industries, it remains a cornerstone of structured decision-making. However, emerging methodologies like agile hybrids, real-time analytics, and lean documentation offer opportunities to modernize and enhance its effectiveness. By tailoring the approach to organizational needs and industry demands, companies can strike the right balance between control and adaptability, ensuring long-term success.

Balancing OKRs with the Basics: Keeping Growth and Brand Marketing on Track

Its been awhile since I've posted folks, sorry! While on a new journey and as I look back you know, I had this realization. It’s easy to get wrapped up in the shiny, new stuff like OKRs (Objectives and Key Results), but sometimes, we might end up spending so much time on them that we forget the basics—like keeping the trains running on time, or making sure the team has what they need to grow the business and build the brand.

Why OKRs Are Good, But…

  • Focus and Direction: OKRs are like that map on a road trip except for businesses. They help you know where you’re headed and make sure everyone’s car is pointed in the right direction. Without them, you might just end up driving in circles.
  • Accountability: They make it easy to see who’s doing what. Everyone knows their part, and you can quickly spot if something’s off track.

The Flip Side—When You’re Stuck in the OKR Weeds

  • Too Much Process, Not Enough Doing: If you spend all your time planning and tracking, there’s a chance you’re not doing enough actual work. It’s like planning the perfect garden but never getting around to planting the seeds.
  • Forgetting the Basics: Core business processes—like making sure the Growth and Brand Marketing teams are firing on all cylinders—might take a backseat. You still need to keep an eye on the day-to-day, like keeping operations smooth, ensuring customer service is top-notch, and steering the marketing ship in the right direction.

Steering the Growth and Brand Marketing Teams

  • Growth Management: Growth teams need a good bit of attention to keep the momentum going. It’s not just about setting ambitious though achievable goals—it’s about making sure they’ve got the tools, resources, and support to hit those targets.
  • Brand Marketing: Brand marketing is all about storytelling and building trust. While OKRs might tell you what needs to be done, it’s the brand folks who figure out how to say it in a way that resonates. They need to be closely guided and supported to ensure that the brand’s message stays consistent and strong.

Getting the Balance Right

  • Integrate OKRs with Business Processes: OKRs should work hand-in-hand with the day-to-day management. They’re not there to replace the basics but to enhance them. When done right, they should be pushing the business forward without pulling you away from essential tasks.
  • Keep It Simple: Don’t overcomplicate things. Focus on a few key objectives that really matter, and make sure the team isn’t drowning in process. Sometimes less is more.

Wrapping Up

OKRs are a great tool, no doubt. But like any tool, they’re only useful if you use them right. It’s important to keep things in balance—make sure the business processes, like steering the Growth and Brand Marketing teams, are getting the attention they need. After all, you can have the best goals in the world, but if the basics aren’t in place, those goals won’t mean much in the end.

ChatGPT a Google killer/ “something” killer or just a new Miscrosft word plugin?

ChatGPT - OpenAI

Is ChatGPT a Google killer/ "something" killer or just a new Miscrosft word plugin?

I see it as the latter, Google crawled, collected and collated information and matched folks to that information, better. For many that was an incredible improvement in user satisfaction over the likes of Excite/Infoseek/Yahoo and was enough to defer the user's own information retention and completely rely on Google. But fundamentally, the true value of Google was that it made a wealth of information produced by regular people more accessible and democratized knowledge.

ChatGPT is definitely the next step in the information evolution / revolution but ultimately its a black box, its more like AskJeeves on steroids, the now defunct question oriented search engine, anyone remember that?

Jeeves, who is Martin Luther King Jr.?



ChatGPT takes away the knowledge gathering process all together and attempts to gather, synthesize and present a "point of view" based on the information it scours and the deduction of a user's query. ChatGPT is the "Zoltar Fortune Teller" killer or BS on steroids.

Seriously though, ChatGPT being the #Google killer will depend on how accessible it is to everyone and I have little doubt that #Microsoft is in the business of pure free, right now.

Having said all of the above, I have used ChatGPT to create numerous marketing headlines, optimized my site's titles/meta data, tweak descriptions/timelines for videos on my YouTube channels, had it write overlays for my personal TikTok/IG reels, and even write a poem.

Finally, I was disappointed that it didn't know me, when I asked who Cezanne Huq was. :-)

I'm a simple guy and I often miss the forest for the trees, please share your thoughts on ChatGPT!

Disclaimer: This post wasn't written by ChatGPT

#microsoft #chatgpt #openaichatgpt #artificialintelligence #knowledgesharing #ai #optimization

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Amazon buys Whole Foods, boy times, they are a changing…the courtship of digital is ending

Why would Amazon buy Whole Foods? Ironically, the answer is in the name, Amazon. The amazon jungle is the life blood of the western hemisphere providing the ecosystem and environment to nourish over a billion in population and drives civilizations largest economies. According to Wikipedia, the Amazon represents over half of the planet's remaining rain-forests, and comprises the largest and most bio-diverse tract of tropical rain-forest in the world, with an estimated 390 billion individual trees divided into 16,000 species.
Furthermore, having worked with Amazon when they first launched, Jeff Bezos’ goal seemed to be to want to bring everything a consumer could possibly want instantaneously to any part of the globe. So, it’s not a surprise to me that Whole Foods would be part of the consideration having integrated Zappos, Audible, etc. What I like about this is that Amazon; versus Walmart or any other big etailer/retailer has an opportunity to revamp the village economy that’s been largely decimated and ignored by the chain retailers such as the Walmart’s and Kmart’s of the previous generation. What I mean is that, there will be shift to employee first and long-term strategy versus a shareholder driven short term view of profit and loss. This will help employees gain purchase power and drive the economies in their communities. What’s the state of retail and is there any benefit for brick and mortar shopping? Look, I don’t think we should see the world from a “zero-sum” game perspective. I’m not a retail expert but as a consumer myself, introspectively, I have seen a big shift in my own buying behavior. Looking back, I never thought I’d stop going to the produce markets to use Fresh Direct or Google Express, as an example. We also must be mindful that many of us consumers are in various transition stages. This means that there’s a role for physical spaces, the answer lies in defining your ideal customer, understanding how he/she’s purchase behavior is changing and what your business can do about. How Amazon integrates Whole Foods will shed more light into the convergence of digital and physical in real terms. When buying preference shifts more towards medium B versus medium A, and medium A has been the driving method for businesses to entice a transaction how should a business respond? The answer to this question is simple but the path to getting there in an organization seems to be well beyond a company’s reach. Assuming medium B is online shopping and medium A is physical retail purchasing then logic would dictate that organizations would build the necessary pathway from divesting from brick and mortar to mix shift to supporting online shopping. Yet we look across the spectrum of retail and while this isn’t new news, i.e. music stores closing due to the CD to mp3 shift or mom and pop shops disappearing due to large retail shops are just a few of the shifts that are similar in nature but every time we see a pivot in consumer behavior our career business professionals and leaders seem to miss the boat or wait too long until it’s too late. Businesses should have a strategy to address the changes in the marketplace and these changes are clear and present when you listen to consumers. This idea isn’t new, there are many businesses who have carefully followed the needs of their customers, they have succeeded, Intel or BestBuy come to mind. While others simply ignored the signs, or didn’t see the writing on the wall and are no longer around or solvent, Kodak or Kmart, etc. What's interesting is that, as a percentage of revenue, according to TheMotleyFool, Amazon spends more on advertising then Walmart, The Home Depot, Best Buy, Kroger, and Target combined. Do they know something we don't know? Or do they understand that part of doing business and competing requires investing into driving sales? And that this investment brings critical data and learnings that will help the business calibrate and course correct? A form of research and development in the digital era.
So how can a large retailer turn the tide through digital transformation? That’s a loaded question, and it’s important to note that it’s not about digital or physical, really. And you've people say, it's not a sprint its marathon, I say it's a triathlon but your organization has to be sure of what it is it needs to accomplish and be laser focused on accomplishing it. Most businesses are fully on the transformation journey, the problem lies in whether it’s the right one for them.  To understand that, it’s important to understand the organization’s wherewithal and capability from the vantage point of research, data, technology, legal, processes and talent. The underlying question will be whether you have the right mindset from the leadership and from the brick and mortar staff to facilitate any future change. If it's not a holistic approach then you're just slapping "lipstick on pig" and the underlying issues will engulf your business and you will cease to exist. With regards to research, this is a crucial first step and most businesses sit on a treasure trove of information. Ultimately it will rely upon a business’ core customers, asking the right questions and knowing who they are. Why are they your customers, what are there likes and dislikes, and what drives them to consider alternative products. I think the consumer packaged goods (CPG) industry does a phenomenal job at understanding a dimension of this but what I see a lot is research fails to address the consumer journey pieces of the qualitative puzzle. Data is another challenge for large companies, are you collecting the right data with regards to your business, end-to-end, who’s data should you use or trust, do you have a single source of truth and how is the data helping you make the right decisions or not? The research outputs should be able to allow for a gap analysis of your datasets, financial, product, marketing, sales and otherwise. The most puzzling of blockers I’ve encountered is, technology both IT and engineering. Yes, not surprising, it took a decade for organizations to realize that a Chief Marketing Officer (CMO) was investing more in technology than a Chief Technology Officer (CTO). On top of that, you have the pressure of advertising technology and how to tie all these platforms together. Each department, sales, finance, product, marketing and IT all look at their technology investments differently yet operationally and from a cost perspective it doesn’t make sense to do so. So, you have varying levels of maturity when it comes to technology deployment and the appetite for the business side to partner with technology departments from the get go to help bridge and solve problems together. Unfortunately, this is further led by strong Chief Executive Officer and other c-level opinions hence introducing barriers to a timely and frictionless solution. We’ve been here before, the question of whether legal is there to prevent or to protect. Many organizations are starting to look at this from both angles. Prevention is the equivalent of austerity, err on the side of caution. This mindset of course makes sense for certain business as usual situations. But what if you’re trying to address a new problem in the marketplace, a shift in consumer expectations or a new competitor entrant that’s pushing the envelope and their velocity of growth is staggeringly faster than yours? This is where I feel your legal counsel needs to be a critical partner in understanding the business requirements versus simply addressing the legalities of a decision. Furthermore, the legal team must be agile in its response to the needs of the business and market. How this is done is partnership and collaboration of course. Processes are absolutely the linchpin to all we’ve discussed so far. To put it simply, across the organization if making a decision is a three to six-month endeavor then leadership must look at how to accelerate the process, where are the gaps, what are the key blockers and how do we move more faster. I’m shocked that many organizations are still in a waterfall mindset, very linear in their thinking and sequential. Or there are pockets of lean startup but then other departments are operating in a different way. A process change should be defined and harmonized with inputs and alignment across all cross-functional departments. This will help large businesses move and shift to market and consumer demands more efficiently.
Finally, talent, the single most important opportunity for an organization to mine. Talent development should be seen through seeding, cultivating and building the acumen, both internal and external, required to solve the challenges the business faces. Whether it's digital, internet of things, or whatever new shift your business sees in the horizon. This is whether your technology department needs calibrate and train to understand marketing, advertising and other key aspects of your business supply chain. Do you have the right mechanisms, culture and leadership to enable curiosity and avoid complacency? I’m always afraid of becoming obsolete as a professional, shouldn’t a business’ staff and agencies feel the same way? If not what can the leadership do and provide to drive that mindset and talent transformation? Is Amazon looking at Whole Foods as a way to build and bring in new thinking and talent that is supporting a greater vision? Businessses shouldn't purchase using a one dimensional strategy, all angles, especially the impact to employees and talent are an important facet of the acquisition considertation.

Does your organization enable digital marketing innovation in this new era?

New-HeightsFolks, it's been awhile since I posted something and there is generally no good reason not to. Let's face it, we're all busy trying to figure out what 2013 will bring to us. I thought I'd share a point of view on a particularly interesting topic, "Innovation" or in my world, specifically, "digital marketing innovation" and how an organization can encourage it. the cliche that change is constant is a nagging truth. With the daily barrage of information and ideas, how do we as business leaders fuel innovation and as a result growth? Digiday just ran a piece on just how Intuit does it and here are a couple of highlights: 1) Your organization should be somewhat dynamic 2) Develop processes and guidelines to facilaite regular cross-training or swapping opportunities. There is no reason to prevent a finance person to consider marketing and vice versa! 3) Make sure that you're collecting the feedback as staff swap roles, i.e. work with them to build case studies and learning Here's the full Digiday article: Why Intuit Encourages Job Swaps

When should you be a general manager versus a subject matter expert?

We all have a few "real life" examples of when we were required to modulate our approach in certain situations between putting a general manager hat on versus your expert hat on. Hindsight is 20/20 and while we take it for granted, you can learn a ton from past mistakes. In the end, I believe that you should be yourself and focus on doing the right thing. The scenario is this: You work for a superb company, the company is filled with phenomenal individuals with a diverse set of cross-functional skills and experience. You're presented with a situation that needs you to press the pause button on your domain expertise and years of experience to support a solution a key collective of individuals within the organization is advocating. The right thing to do: Easily said than done and always consider the short and long term implications of your behavior as well as actions. Show that you trust your key partners and empathize so that their ideas coupled with yours could be a much more powerful alternative to consider.  Key here is "empathy" and you'll see you'll elevate to the general manager approach and ultimately your colleagues will value your inputs. Feel free to share your stories so that we can learn and be informed about how to improve our collective general management skills.

The enterprise marketer can transform businesses

Indeed it has been awhile since I've spoke at a conference. So thanks to the folks at x+1, an innovative and agile enterprise business platform, I was invited to sit with Verizon and JP Morgan Chase's key advertisers moderated by Sarah Fay! I think the key takeaway for me was the general management aspects of marketing, focusing on leadership, innovation, team building and cross-functional  shared vision that could make or break an organizations efforts to build enduring marketing departments. John Ebbert of Ad Exchanger covered the panel and the conference, NexTargeting. Hope there will be more as I had the unique pleasure to participate and meet some really terrific people: http://www.adexchanger.com/online-advertising/marketer-enterprise/

A Ramblin Man

If you made it to my portfolio then I've done approximately 50% of my job. I haven't figured out what to do to make the remaining 50% of work hum quite yet. My guess is that it will be focused on trying to keep you here as long as possible! Maybe we'll discuss how to build a personal brand, how to accelerate a large organization to deliver on growth for the business, possibly some music and basics of digital, mobile, analytics and technology that's transforming our world of marketing. While you're here, I'd love comments, topic ideas, and or just plain feedback.