Don't expect your organization to adopt a new strategy uniformly. Apply the 'Crossing the Chasm' model internally: identify early adopters to champion the change, then methodically win over the early majority and laggards. This manages expectations and improves strategic alignment across the company.
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Don't pitch big ideas by going straight to the CEO for a mandate; this alienates the teams who must execute. Instead, introduce ideas casually to find a small group of collaborative "yes, and" thinkers. Build momentum with this core coalition before presenting the developed concept more broadly.
To solve misalignment, the company cascaded OKRs from the CEO down. Critically, regional leaders were made 'champions' of key pillars like user acquisition. This gave them ownership and a direct voice in shaping product solutions, turning potentially adversarial relationships into collaborative partnerships.
When driving major organizational change, a data-driven approach from the start is crucial for overcoming emotional resistance to established ways of working. Building a strong business case based on financial and market metrics can depersonalize the discussion and align stakeholders more quickly than relying on vision alone.
To avoid chaos in AI exploration, assign roles. Designate one person as the "pilot" to actively drive new tools for a set period. Others act as "passengers"—they are engaged and informed but follow the pilot's lead. This focuses team energy and prevents conflicting efforts.
The most effective way to build strategic alignment is not top-down or bottom-up, but 'inside-out.' Engage middle managers (Directors, VPs) first, as they have crucial visibility into both executive strategy and the daily realities of their teams and customers, making them the strongest initial advocates for change.
Forcing innovations to "scale" via top-down mandates often fails by robbing local teams of ownership. A better approach is to let good ideas "spread." If a solution is truly valuable, other teams will naturally adopt it. This pull-based model ensures change sticks and evolves.
Leaders often misjudge their teams' enthusiasm for AI. The reality is that skepticism and resistance are more common than excitement. This requires framing AI adoption as a human-centric change management challenge, focusing on winning over doubters rather than simply deploying new technology.
To sell large transformation projects, present the ambitious "North Star" goal but break it into sequential stages. Critically, Stage 1 must deliver tangible business value on its own. This approach wins over skeptics by providing an early return on investment, securing the momentum and buy-in needed for subsequent stages.
To transform a product organization, first provide universal access to AI tools. Second, support teams with training and 'builder days' led by internal champions. Finally, embed AI proficiency into career ladders to create lasting incentives and institutionalize the change.
Spreading excellence should not be like applying a thin coat of peanut butter across the whole organization. Instead, create a deep "pocket" of excellence in one team or region, perfecting it there first. That expert group then leads the charge to replicate their success in the next pocket, creating a cascading and more robust rollout.