Always-On Human Insights
From Discrete Research to Agentic Intelligence

Today’s customers aren’t just changing faster—they’re living through a world that changes around them every day. New technologies, shifting expectations, cultural moments, and economic pressures continually reshape how people think, choose, and buy. For growth leaders, the challenge isn’t a lack of data. It’s developing a deep enough understanding of people to keep pace.

The opportunity for growth leaders is unprecedented—but realizing it requires rethinking how organizations build empathy with customers and translate that understanding into action.

The companies that win won’t simply collect more data. They’ll have greater organizational empathy—the ability for every product manager, marketer, strategist, and executive to more deeply understand the people they serve and create experiences that feel genuinely relevant.

To drive uncommon growth, leaders must build empathy with their customers and treat customer intelligence as a live utility — not a periodic input. This requires a fundamental shift from discrete research to market sensing and customer intelligence, executed through three core actions:

1. Go deeper to understand people more completely.

Organizations have access to richer sources of customer understanding than ever before—from first-party data to qualitative research and the broader economic, cultural, and social forces shaping people’s decisions. AI makes it possible to connect these signals into a more complete picture of customers, helping businesses move beyond knowing what people do to better understand why they do it—and anticipate what they may do next.

2. Expand insights across more people.

AI can extend trusted research methods across vastly larger populations and datasets, allowing organizations to validate ideas, uncover emerging trends, and identify opportunities with greater speed and confidence—without sacrificing rigor.

3. Put customer understanding into everyday decisions.

Insights create value only when they’re used. Instead of sitting in reports or dashboards, customer intelligence should be continuously available to the people making strategic, product, marketing, and commercial decisions. AI-powered insight agents can deliver relevant customer context at the moment decisions are made, enabling teams to act faster, with greater confidence and a stronger connection to customer needs.

Future-Back Innovation Strategy
From Category Growth to Future Markets

The biggest future growth opportunities are unlikely to sit squarely within your current category; they’re forming at the edges of it, shaped by forces most companies haven’t yet acted on. Taking share from competitors, extending product lines, entering adjacent geographies: these moves still matter. But they are increasingly insufficient to deliver uncommon growth.

The reason is structural.

CEOs spend approximately 36% of their time in reactive “firefighting” mode while devoting only 10% to 15% to long-term planning. This misalignment is exacerbated by market pressures, as 78% of financial executives admit they would reduce discretionary spending on R&D or maintenance to meet quarterly earnings targets, even if they knew it would destroy long-term value.

Consequently, the window for organizational survival is shrinking; the average lifespan of a company on the S&P 500 has dropped from 33 years in the 1960s to just 15 years today. The gap between short-term execution and long-term positioning is widening — and the companies pulling ahead are closing it deliberately.

The shift is from today’s category growth to future markets and entirely new frames of reference for the category you operate in: The imperative for future-forward growth leaders is to identify where disruption and emerging customer needs are opening entirely new markets and opportunities, and to capitalize on them with conviction. There are three critical components to understanding future markets and frames of reference that can also become an ongoing discipline within the organization:

1. Understand the drivers of change to identify future areas of demand.

Mapping the social, technological, economic, environmental, regulatory, and political forces reshaping your industry is critical, both to build an understanding of how it affects your category today and to explore emerging categories. Working deeply with subject matter experts enables growth leaders to understand the trends that define where demand is heading, not just where it sits today.

2. Define future markets and identify challenges.

An initial analysis into forces at play and demand opportunities enables growth leaders to frame future markets to dive into, mapping the competitive dynamics and customer needs.

3. Define your target destination.

Framing attractive potential markets for growth based on your business realities enables leaders to align on a target destination for sustainable business growth. With a clear picture of the business you need to become, organizations can then work backward — progressing potential business growth models through stage gates of desirability, viability, and feasibility.

Future-back innovation strategies and thinking create real friction with boards and teams focused on near-term results. But the value isn’t in the scenarios themselves — it’s in the concrete strategic bets they open to chart a sustainable and robust path to growth.

New Business Model Innovation
From Products and Services to Platforms

Here’s a question most growth strategies don’t ask: what happens after the sale? For the majority of businesses, the answer is surprisingly little. The product ships, the service is delivered, and the customer relationship goes quiet until the next transaction. That silence is one of the largest untapped growth assets in business today — and the companies compounding value fastest have figured out how to fill it.

The pattern is consistent across industries: the highest-value businesses aren’t winning primarily on what they sell.

They’re winning on the depth of the relationship they maintain while customers are actively using what they’ve bought. That relationship generates proprietary data, deepens customer engagement, and creates switching costs that a lower-priced competitor simply can’t replicate. The shift is from products and services to platforms — business models that let you observe, interact with, and add value for customers during the time between one purchase and the next.

You don’t need to be a technology company. You need to create the conditions under which your business stays connected to customers during what we call the User Journey. Execution follows a four-stage progression:

1. Start with in-use visibility.

Build the ability to see what customers are actually doing with your product after the sale, which is the foundational data layer most traditional models completely lack.

2. Create interactive value.

Develop touchpoints, tools, or services that add real value during active use, deepening the customer relationship and generating behavioral signals you can learn from.

3. Personalize and grow.

Use what the platform reveals to tailor and expand the value delivered to each customer over time, which will drive increasing satisfaction and share of wallet.

4. Attract through proof.

Let the richness of the platform experience and data-validated results become a powerful acquisition tool to draw new customers through demonstrated value, not just marketing.

The biggest friction will be organizational: most businesses are structured around product sales cycles, not ongoing engagement. A platform model requires investment in data infrastructure and continuous value delivery before the financial return is fully visible.

Customer Ecosystem Management
From Individual Customers to Coalitions

Most growth strategies focus on two things: acquiring more customers and keeping the ones you have. Both matter enormously. But they share a blind spot that limits how much value your business can create and capture.

The blind spot: your customers don’t exist in isolation.

Every customer is surrounded by an ecosystem of influencers, from providers to creators, advisors, and communities, who shape their decisions before, during, and after the purchase. The companies building the strongest competitive positions today aren’t just serving customers. They’re connecting the parties around them into coalitions where everyone exchanges value, and where the business sits at the center.

This is the shift from customers to customer coalitions: moving beyond a one-way value exchange between company and buyer and instead facilitating a “better together” network where participants make each other more valuable. The result: lower acquisition costs, higher lifetime value, and stickiness that a marginally better product from a competitor can’t easily break.

Executing this shift requires focusing on three areas: 

1. Precision archetype scaling.

Growth in a coalition isn’t about scale for scale’s sake — it’s about the right mix of participant types: users, providers, creators, sponsors, and influencers. Identify which personas fill gaps in the ecosystem and create a self-sustaining growth loop. Are the right providers balanced to customer demand in a given market?

2. Multi-dimensional value exchange.

Look beyond the direct value your company delivers and design for the lateral value members provide to one another. When you engage the same person in multiple ways — a user who also reviews, recommends, and advocates — you drive significantly higher spend and create differentiation competitors can’t replicate.

3. Tiered ecosystem loyalty.

Move from transactional discounts to recognition systems that reward specific behaviors — quality, consistency, responsiveness — rather than just volume. This lets you capture premium needs at higher margins while remaining accessible at the entry level.

The friction here is real. Investing in peripheral ecosystem participants can feel indirect when teams are measured on near-term revenue. But the payoff is a self-reinforcing system that compounds over time.

Organizational Culture as Catalyst
From Stated Values to Purpose-Built Culture

Every organization has written its values on a slide or poster. Very few have a culture that accelerates growth. The gap between what a company says it believes and how people inside it behave is where most growth strategies quietly die.

The evidence is consistent: research shows that approximately 70% of digital transformations fall short of their objectives.

The failure is rarely due to a flawed strategy or insufficient funding. Instead, it is most often rooted in organizational and cultural resistance — the antibodies within an organization that reject the very changes leaders are trying to implement. You can invest in the sharpest strategy and the most advanced tools, but if the culture isn’t built to absorb and act on them, the organization will default to what it already knows.

The shift is from stated values to purpose-built culture: a culture deliberately designed to champion bold bets, move with speed, and sustain momentum long after the initial energy of a new initiative fades. This isn’t about writing better values statements. It’s about rewiring how the organization operates.

Organizational Ambition

Defining a compelling ambition for the organization aligning purpose, strategy and culture — enabled by the right behaviors

Leadership Enablement

Clarifying what is expected of leaders, providing them with the skills and tools to demonstrate change and build trust with their teams

Employee Ignition

Sparking employee interest, passion, and accountability by showing them what great looks like

Executional Excellence

Unlocking people and work through systemic change in service of delivery against strategic objectives

Three moves make this real:

1. Decentralize growth ownership.

Uncommon growth cannot be a top-down mandate. Empower people at every level to identify and act on opportunities — and to challenge legacy processes that slow the organization down. When growth ownership is distributed, the company becomes a network of sensors rather than a hierarchy waiting for direction.

2. Operationalize experimentation.

Move beyond “permission to fail” toward active incentives to experiment. Reward the process of discovery, not just the outcome. If your performance reviews only recognize hitting quarterly targets on legacy products, the culture will never champion the new — no matter what the values slide says.

3. Build momentum loops.

Shift from annual planning to rolling cycles that redirect resources toward what’s working in real time. Leaders must move from managing performance to evangelizing the behaviors that produced it.

The tension is real: protecting the core business while funding the future creates friction. Culture must provide the permission to reconsider your own business when the evidence points forward — and the resilience to sustain speed without burning people out.