Tag Archives: Strategy

AI as the Next Strategic Inflection Point: Why Hybrid Growth Models Will Define the Future

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Now that I have changed jobs, I engage in my regular ritual of reading “Only the Paranoid Survive” by Andy Grove. Although dated and the fact that it beats up on Steve Jobs and Apple, there are several nuggets of wisdom I take from it every time I reread it. I decided to use the framework in the book to assess AI. Andy Grove once wrote that a strategic inflection point is the moment when the balance of forces shifts so dramatically that an organization must adapt or risk irrelevance. We’ve seen such changes with the internet, cloud, and mobile. Each time, companies either leaned into the shift or slid into irrelevance.

Today, we confront the same question: Is AI the next turning point for businesses?

My position is clear: it is.

Why AI Is Different ?

AI doesn’t just digitize processes. It reshapes how we engage, learn, and deliver value. The promise of AI is hyper-personalization at scale, understanding customer intent in real time, adapting product experiences dynamically, and embedding intelligence into every workflow.

For businesses, such intelligence is non-negotiable. Customers no longer tolerate generic experiences. They expect platforms to anticipate their needs. Those who move slowly are not just lagging; they’re drifting toward irrelevance.

Applying Andy Grove’s Six Forces



Grove argued that strategic inflection points become visible when all six forces in business begin to shift simultaneously. Artificial intelligence provides a textbook example:

  • Competitors: New entrants leverage AI-native strategies to outpace incumbents in personalization, cost, and speed. Startups move faster; established players must retool.
  • Customers: Expectations are rising. Hyper-personalization is now a fundamental requirement. AI reshapes the definition of value.
  • Suppliers: Model providers (OpenAI, Anthropic, Google, etc.) become critical suppliers, introducing new dependencies and risks. Shifts in licensing, pricing, or access can alter your strategy overnight.
  • Complementors: Ecosystems of AI plugins, agents, and integrations redefine how products interoperate. Companies that fail to integrate risk isolation.
  • New Entrants: Barriers to entry collapse as AI lowers the cost to build sophisticated products. A two-person startup can now challenge incumbents.
  • Substitutes: Traditional processes and workflows are displaced by AI-native alternatives. Automation replaces previously required human effort, transforming value chains across various industries.

    When all six forces are in motion, you don’t just face incremental change—you’re at an inflection point.

Product-led growth vs. customer-led growth in the age of AI

The situation raises a critical question: how does AI reshape growth models?

  • Product-Led Growth (PLG) thrives on self-serve adoption. AI strengthens this by embedding intelligence into onboarding and analytics. However, PLG has a blind spot: despite being data-driven, it frequently overlooks the competitive Cassandras within your organization—those voices that warn about competitors moving faster or shifts in the market.

  • Customer-Led Growth (CLG) relies on deep engagement. AI enhances this by giving customer-facing teams foresight into risks and opportunities across accounts.

Individually, both are powerful. Alone, both are incomplete.

The case of Hybrid-led growth

Hybrid-led growth is the winning model, similar to the case I made in my earlier blog post about each of the growth models.

  • From PLG, you inherit scale: products that adapt to millions of users in real time.
  • From CLG, you inherit resilience: trusted, high-touch relationships informed by AI insights.
  • By combining them, you overcome PLG’s blind spots and amplify CLG’s reach.

Hybrid growth reframes Product-Market Fit (PMF). PMF is no longer static. With AI, it becomes dynamic, continuously tuned by customer data, competitive signals, and organizational foresight.

What Leaders Must Do

  1. Reframe strategy through AI lenses: re-evaluate product roadmaps, customer journeys, and GTM motions with AI in mind.
  2. Invest in data and trust: transparency and security are preconditions for customer willingness to share.
  3. Listen to your Cassandra’s: Don’t dismiss internal voices warning of competitive threats. They’re often early signals of market shifts.
  4. Adopt hybrid growth mindsets: stop debating PLG vs. CLG. The future belongs to companies that can blend them.

The Inflection Point Is Here

Strategic inflection points emerge in the present, not in retrospect. Grove’s six forces are shifting, simultaneously, under the weight of AI.

Companies today stand at the fork Grove described: grow exponentially or risk irrelevance.

AI is that fork. The winners will not simply adopt AI; they will reimagine growth itself, blending PLG and CLG into a hybrid model that adapts dynamically to both customers and competition.

What Does Value Really Mean?

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What is Value?

In the realm of product management, “value” is often discussed but rarely defined with the clarity it deserves. At its core, value is the ability to improve and impact the current reality of a customer. It’s not about the prettiness of your deliverables or the meticulousness of your documentation—it’s about creating tangible outcomes that transform how customers experience the world.

The Difference Between Menus and Meals

Imagine dining at a restaurant. The beautifully designed menu teases with promises of delightful dishes. However, if the meal served fails to satisfy or create a memorable experience, the menu’s allure becomes meaningless. Similarly, in product management, gorgeous specifications and polished PowerPoint decks are the menus. They outline possibilities and articulate plans, but they aren’t the meals. The real substance comes from the actual impact these plans have on a customer’s life.

  • Menus (Outputs): These are the deliverables—specifications, designs, presentations—that provide clarity on what is intended.
  • Meals (Outcomes): These are the actual results. They are the improvements, the efficiency gains, and the enhanced experiences that customers enjoy.

If we focus solely on outputs without paying attention to the outcomes, we risk missing the point entirely. Our job is not to create beautiful documents for their own sake, but to drive meaningful change.

From Outputs to Outcomes

Many product managers fall into the trap of equating activity with progress. They become enamored with the creation of extensive documents and polished slides, believing that these outputs signal success. However, without a direct line of sight to the outcomes—the real, positive shifts in customer reality—our efforts may end up being impressive on paper but ineffective in practice.

To truly deliver value, we must:

  • Prioritize Impact: Ask yourself, “How will this feature or specification change the way a customer works, feels, or succeeds?”
  • Measure Outcomes: Track metrics that matter, such as customer satisfaction, engagement, and long-term business benefits. It’s these numbers that truly validate our efforts.
  • Stay Outcome-Oriented: Regularly reassess and pivot based on feedback. Clinging to a document that once promised a breakthrough but no longer aligns with customer needs is a surefire way to lose relevance.

The Role of Clarity in Driving Action

Clarity is the bridge between vision and execution. Wonderful documents and detailed specifications are valuable tools only because they provide clarity. They help align teams, set expectations, and serve as a reference point during the tumultuous journey of product development. But the ultimate goal isn’t to maintain clarity for its own sake—it’s to empower teams to take decisive, informed actions that bring about a new reality for customers.

Consider these strategies to ensure clarity translates into action:

  • Define Clear Objectives: Start every project with a clear statement of the intended impact. What does success look like from the customer’s perspective?
  • Communicate Transparently: Ensure that every stakeholder understands not just what is being built, but why it matters. This shared vision drives collaboration and innovation.
  • Iterate and Improve: Use clarity as a starting point, but always remain open to refining your approach. The landscape changes, and so do customer needs. Iterative feedback loops ensure that clarity evolves into meaningful progress.

Creating a New Reality

Ultimately, value is measured by the transformation it brings about. As product managers, our mission is to turn ideas into actions that reshape customer experiences. It’s about moving from theoretical blueprints to real-world results. Every beautiful specification or compelling slide should be viewed through the lens of the impact it can drive. When we focus on outcomes rather than just outputs, we empower our teams to create products that not only meet expectations but exceed them.

In conclusion, value isn’t just an abstract concept or a metric on a dashboard—it’s the very essence of meaningful innovation. By shifting our focus from outputs to outcomes, and by harnessing the power of clarity to drive action, we can truly make a difference in our customers’ lives. And that, in the end, is what real value is all about.

“No one can predict the future. Hindsight is required to tell us what works and what doesn’t. And while we’re waiting for the conditions to be just right, the beauty and excitement of life is flying right on by. So ignore all of that doubt-inducing information and be driven by curiosity and passion. Have the wisdom and courage to follow your heart” – Tom Asacker

Before doing anything there will be several sign posts out there asking you not to attempt anything. The worst thing you could ever do is not do anything at all so go out there and do something! Value is created by doing something not by sitting on the sidelines and watching the world go by…

Web Strategy: What is a good bounce rate?

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I don’t know how many times I have heard that question, that is like asking how many times do get acknowledged when you say hello?  Sorry to sound to presumptuous here but it would be a wasted conversation because the person asking the question does not understand the web or even does not know what outcome they want to drive and hence ask for a “prescriptive” set of numbers so that they can measure against.

 Why is it hard for people to be more outcome driven? Because bounce rate although they are an ok metric, it is contingent upon other factors such as :
Location: If you are targeting a particular geography and you have high bounce rates from sources outside of the geography should you care ?
New vs Returning: This is another factor that you need to consider on the bounce rates. New users are great but if you have a higher rate of people returning then that is a good thing
Device: What are the devices people using to come to your website? If you find a high bounce rate because your site is not mobile optimized.Then you should do something about that
Medium: How are people coming to your site? SEO, Email campaigns, Social media, Paid Search, organic etc. If you break up your traffic this way you will be able to see what are some of the more effective mediums to reach out to your clientele.
All these divisions/ segments are interrelated I guess the net of this blog is that know you what your outcomes are and segment accordingly.  Bounce rates are great start if you don’t know web metrics but what you should be really looking at are exit rates (thanks to Avinash Kaushik: http://goo.gl/qjpn0). To me exit rates are more revealing about the leaks in your conversion funnel and what you need to fix. 
Another more important metric would be churn rates, similar to exit rates except churn rates focus on the customers you already have. What are you doing to take care of your existing customers and at what rate are they leaving (http://goo.gl/t1ADj).

So when some asks you about what is the ideal bounce rate? Please take the time to educate them and let them understand what outcomes are they trying to drive ( Increase registrations, downloads, donations, buy products etc,)

Caveat: If your company is obsessed  about bounce rates, then you have a good inkling that the organization has never thought of the web as a viable channel and you have long road to educate people.

You can contact me @ kkanakas on twitter with your comments

How do you get respect for a Strategist without any real world experience? You don’t!

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People usually say that Strategists can only think of crazy ideas because they are not the actual “doers” of the work. If they were “doers” then they would not  be coming up with such crazy ideas.

I pride myself because I come a technical background myself. Even though I am a strategist myself and I don’t condone strategists that do not have real world experience  and coming up with ideas. Actually I have really little respect for such people, because they are mostly people that do not like to upset the apple cart. Since Strategy can be so nebulous, it can be made to appease anyone’s thinking especially if people end up designing a strategy based on the HiPPO rule.
          I prefer working with people that have been through the trenches and can empathies with situation of others. Strategist who have history of being the “doers” and getting s*it done are usually the ones that come out on top, everyone else just rides their coat tails.
What you think ?
You can contact me @ kkanakas on twitter with your comments

3 things that need to be considered when Job Mapping with Jobs to be done

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My first blog after a long summer break, I hope all of you had a safe and sound summer as well.  I did catch up on a lot well-deserved reading but somehow my reading list from amazon has not gotten shorter. I bet you if Amazon did a customer lifetime value analysis on me, I think Amazon has probably made quite a pretty penny off of me just on books.
When I wrote the “Jobs to be done” write up on my blog, I did get a few feedback from folks who read it.  Some of them mentioned that the “Jobs to be done” notion sounds great but it is mostly theoretical (Cleary some folks have not read Clay Christensen’s Innovator’s solution), because when have to jobs you want get done in real life there are constraints. To which I thought a little bit and realized, and a little inspiration from the book The Fortune at the Bottom of the Pyramid by C.K. Prahalad, that innovation is not limited by constraints but actually happens because of it. With realization I went through the process of retracing my steps on activities which forced me to improvise or bootstrap projects in the past, the reason I had to improvise were because constraints along with a few other things such as effort and risk. Considering these limits in mind I did proceed to execute with a series of actions.  I know this sounds trivial because this behavior is so ingrained in us that most of us don’t think twice.  So this blog is dedicated to those 3 things that me realize I had not done justice to my earlier blog on “Jobs to be done”.

Constraints

For innovation to happen constraints can come in various forms. These constraints could be the usual suspects like finance/budget, resources, business model at a micro level or these constraints can be imposed at a macro level such as Political, Environmental, Social, or Technological. There is a reason why such decision-making tools exist whether it is the SWOT analysis framework or the PEST analysis framework. These tools allow us to look at the constraint in an objective way and figure out the right course of action.  I mean think about if these constraints were not put in place how would we have gotten some of the greatest innovations of our time. These constraints become even more relevant as our economy moves on from a post-industrialized society to knowledge driven society. Just think about the Reinvent the toilet challenge held by the gates foundation with a very simple constraint “it should be useable by 2.5 billion people that do not have access simple, hygienic, and sustainable toilets”.

Effort

Beyond the constraint this is usually the top most thing in our mind. I know it because every time I have been given a project my initial request is always more resources and the answer usually is work with what you have.  Because of this limitation, I am forced to improvise and work around ways to get my job done. My usual formula is the get the maximum efficiency with the most minimum amount of effort but it does force me to think in ways that I would not thought in an environment that is more comfortable. That is the other thing comfortable surrounding means bad news to me it means you are going to go stale pretty quickly  (that is topic for a blog later)

Risk

This is the other big one. With everything you do there is an element of risk. The only question you have to ask yourself is what is the threshold you and are team can withstand.  I know there are plenty of books and magazines that romanticize the notion of risk taking, which sound a hell of lot cooler than saying that before a so called rock star CEO was about embark on a risky proposition he/she was sweating bullets. Which is why I am a big fan of things like continuous integration, delivery, A/B testing, and data driven analysis. All these paradigms help reducing the cone of uncertainity that we know as risk. But with all these tools that we have to help us make better decision a few complimentary tools help us in making the right decisions and they are “Observing people and what they do, and sometimes just plain listening”.  Both these non-technical elements that give you ample insight on what you need to do next to innovate (Yes, engaging LinkedIn groups can be a proxy provided that you actually engage in dialog in those groups)
I would like to add a fourth element to this as well (Yes, I know I said 3 things in the blog title, but you folks have not heard from me throughout the summer, so I feel compelled to share with you a little bit more).

Metric

What is the measure of success that people use for the job they want to get done? This dawned on me the other day that in the West, we don’t think about price when we know that a product has a high level of performance and reliability. But if you think about products in the emerging markets, performance is the least of the concerns, their threshold is so low that they want to be able to do basic things at reasonable price.  In both these cases you can observe that the metric of success for one constituent is performance whereas for the other constituent it is the price.  You can take a performance product and place it a price sensitive market but at best you will skim the market but if you listen to price person you might design a product that could not only work in the emerging markets but also in the rest of world there by creating a new market (this is part is a bonus).  The intent of this section to make sure success metric is not forgotten. Too often we get carried away by other things but really do not pay attention to actual metric that will define success for the target constituent. This is something we need to pay attention do and it might just be a statement like “Minimize the time to reinitialize after an emergency to eject thrusters”
Just take a look at what GEis doing on this whole notion of reverse innovation, it really shows that they looking into all 4 things, when it comes to the jobs to be done framework and it’s implementation.
As always I look forward to a very enriching discussion. You can contact me @ kkanakas on twitter with your comments

The world has not changed. It is just the medium that has

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Unlike my past blog posts this is more of me just being reflective on the way the world has evolved over the past decade. People say the world has changed and I believe that the world has not changed but the medium has changed. Those who don’t understand the medium, well they believe the world has changed.
It is funny that these days traditional companies still view their service to their clients based on products and offerings and ignore the complete “experience”. Yes I know experience is a catch all term but in the context of this blog the term “experience” is the culmination of both product and services.
I will be the first to admit, this is not something new, but if you look around the Internet. You will think everyone has found this new talisman to profitability called “experience” or even better “Delighting your customers”. To me terms like “Delighting your customers” does not mean much, what is more valuable is what can you do for them that will make them look better in the eyes of their clients.  That is more meaningful, because you can focus on the kind of jobs you clients want to accomplish.
The web was founded on the principal to allow humankind to collaborate irrespective geographical and political boundaries (it took a while to get there) but it has not changed one thing our innate tendency to be social (matter of fact it has amplified it exponentially). Which is why the power of Web of equalizes the people who consume a service with the people who produce a service. Social computing has now allowed people to be more informed about a product and service and also understand what other people like them think about the “experience” before they commit to such a service themselves.
As most of you know I am very big Apple fan, the reason for that is Apple as a company does not do everything well, but the things that are part of my day to day routine, it does extremely well. Which is why I as a consumer will pay premium for that kind of service. Yes there is a market for a Samsung type client but that is not a demographic that belong too.
What is amazing is that most smaller companies and some big have figured out the engagement aspect of the web and have really created a fan following, where as the rest of the industry is still using the web as an online brochure for their company. In the future companies that will survive are the companies serve their clients well and use the web channel effectively to engage and build a community around them.
There are still companies that still believe that slow and steady wins the race. But unlike in Aesop’s Fables I imagine today’s world there is a big hare competing with 1000’s of tortoises and each tortoise covers piece of the track they are going to race in and they do it really well. By racing like that the hare has already lost the race before it even started because each slow tortoise is a specialist in a micro conversion (i.e. each segment) which all work together in the context of the macro conversion (i.e. win the race).
Companies of the future will all have passionate user base and community. They will have a 1000 tortoises racing and that will enable a more fluid and complete experience against the bigger hare (unless the hare come forward with a 1000’s hares themselves).They will value more what each of their peers has to say instead of “vendor speak”. They will focus and engaging rather just being consumers.
So the net is nothing has changed except the medium ….. and some are just figuring that out
You can contact me @ kkanakas on twitter with your comments

3 ways to research an Opportunity

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I know I am not an entrepreneur but I do know a thing or 2 about intra-preneurship. Working in technology company, every now and then you come across new cool things. Being product manager in my prior incarnation, I have been called a buzz kill  when it came to taking out the “coolness”  from the shiny new thing (Although I must confess I do enjoy working with cool things too). 
          When I am look at cool technology especially since I am in the business of selling software. I have to ask myself the following questions:

  • Does this new solution or cool technology solve a pressing problem?
  • Is the problem big enough that a potential customer is willing to pay for it ?
  • Does the opportunity match with my ability or my teams ability to deliver a solution?
  • Are the profits worth taking the risks?
Granted that one cannot be a complete expert in everything but that is where your ability to research comes in  and I am not talking about going on the internet and searching on the topic.  The internet is one of the few tools in your quiver that you use. 
The first thing you need to do is a frame the problem by asking yourself the following question:
What is the problem you are intending to solve ?
By answering that question you have identified the problem area/s you are going to research (It is critical for any venture actually_ .  Once you have identified the problem then  these are the following 3 areas that I would look at to evaluate the opportunity further:

1 – Meeting with Clients about a potential problem to be solved

Clients will tell you what their specific problems they are facing without even prompting and also the jobs they want to get done. Some might go to the extent on how you should help them to get their job done.  To me clients are a great source innovation. Now if you believe the Henry Ford’s old adage (which I do) “If I had asked my clients what did they want ?  They would have said faster horses”. But when working with your client base, the framing of the question needs to be different   instead of asking them the opportunity problem ask them the kind of work they are trying to accomplish. You may find some surprising inputs that might validate the opportunity at hand. Too many people expect their clients to just get it and understand the problem space they are going after or intend to go after.

2 – Meet with your Business Partners and Sales force

Both of these constituents are hungry to look at new opportunities and they are usually one of the few sources of validation. Business partners are useful because their business depends on you being successful and they also have access to first hand knowledge of why they are being employed by your clientele. 
Your sales force is the other constituent (if you don’t have a sales force then you should go back to doing #1). Sales always wants to win and as they should. They are one of the strongest advocates of  your products/solutions and they would be first one to let you know why they are losing on certain opportunities

3 – Internet based 3rd party research

The internet is truly a boon to doing tertiary research. You can get access to papers written by some well established analyst at a large analyst firm or you can take the simple route of trolling websites where your potential user base gets together to exchange and share ideas. I would go as far to say that trolling forums is just as effective as reading up on analyst papers (there is an art to it, but it can be done). It is called social listening. What do I mean by social listening ?  Well in the “internet of things” there are congregations of people in the virtual world building relationships especially on forums like “Linkedn” or even “Twitter” for that matter. Sometimes, all you have to do is join the right group or follow the right hashtag and you can get your answer/validation of the opportunity at hand. The analyst paper will probably give you a better idea of the market size but these two efforts combined provide a winning combination.
Let me assure you these are not fool proof activities and sometimes no matter how much research you do you may deliver a dud sometimes (just do it fast enough, so that you can course correct early on).
What are some of your ways to research an opportunity ? Appreciate any insight you can provide.
You can contact me @ kkanakas on twitter with your comments

How to get your business idea going

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I am big a fan of Spreecast, but this topic is something that is close to my heart. Some insights on how to implement a business idea and get it going.

Product Management: 5 Ways statistics can help product managers

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Statistics was never one my favorite topics but I was reintroduced to it when I went back to school  and now I cannot stop talking about. It also helps that BigData is now affordable to a lot people, cheaply I might add and the fact the predictive analytics is “in” thing right now.
                          I usually get a chance to talk to few new product managers and I am always surprised how little value they give to statistics in general. Yes doing regression analysis on variables may not sound cool but if you master a few techniques you can actually go far. In this blog I document 5 areas where a little bit of statistics can help

Segmentation

If you are product marketer or product manager this is one activity you have to do. Segmentation is critical activity even in the context of a startup.  If you need to create a new niche in the marketplace or focus on a particular type of client archetype or experience this is key. One statistical technique you can use effectively is regression analysis to see which independent variables influence the dependent variable. If you don’t know what I am talking about I would recommend the following books as a great primer on statistics
Heads first Statistics or Statistics in a nutshell  both book happen to be from O’Reilly media because they are actually useful books

Value Analysis  

Every once in a while you are asked what is value or how do you know what is valuable to your client base. In statistics there is a tool you can use called Conjoint Analysis.  Conjoint analysis let you look at different aspects or features and figure out how to maximize and identify the right features and function to deliver by looking at the data (which you should have after meeting your clients). One of the best explanations of Conjoint Analysis is given in the book Marketing Metrics. Conjoint Analysis is very powerful tool and can also give you broad insight into managing your requirements better for the various products you bring to market

 

Analyzing trends 

Trends are the anathema of product managers especially if  the trend has already taken a foothold in the marketplace.  Obviously the most simple way to spot a trend is a to plot on a graph and see the trend (if you are doing that, it means the trend has already taken hold and you are late in the game). In order to stay ahead of trend and if you are constantly engaging with your clients, you should be able to see what variables are important to them. There are some tools like binomial distribution that can help in identify a trend manifesting in a sample survey you with your client base. Binomial distribution can always provide a good proxy for a full blown research effort but they can offer a quick an dirty way to get an idea of what is going on.

Client Satisfaction analysis 

I am big fan of Pareto Charts or most commonly known at the 80/20 rule. You can  identify the top issues that matter to clients and focus your efforts in remediating those top concerns in your overall user experience. There are plenty of credible examples of how to develop a pareto chart but the simplest explanation that I have read is on a blog written by blogger Duncan Haughey. Please check out his blog at the following URL:  http://goo.gl/4E2VV

Quality

The definitive book in this context is Katrina Maxwell’s book called Applied Statistics for Software Managers 
There simple regression analysis techniques that Katrina highlights that can be used not only by software managers but these techniques are applicable to anyone launching a new product whether it be software or hardware manufacturing
As you can statistics can be applied very effectively in product management activities and just like everything you can provide context. I do want to emphasize just looking at raw data would not do, you actually need to get out of the office and talk to clients and get the data.  You can use other 3rd party research to do the same.  The emphasis on using statistics will start to happen more and more in every one’s jobs as Big Data infrastructure continues to be accessible to people.

You can contact me @ kkanakas on twitter with your comments