We scan new podcasts and send you the top 5 insights daily.
Categorize all R&D work into four buckets: Health (maintenance), Innovation (new value), Parity (catch-up), and Modernization (tech debt). This "HIPM" framework clarifies where resources are going and enables leaders to make purposeful, annual budget shifts into the innovation category.
To solve resource overload, don't compare all projects directly. Categorize them into "buckets" (e.g., bold innovations vs. minor fixes). Then, rank and kill the lowest-performing projects *within* each bucket to reallocate resources effectively and protect bolder initiatives.
In ROI-focused cultures like financial services, protect innovation by dedicating a formal budget (e.g., 20% of team bandwidth) to experiments. These initiatives are explicitly exempt from the rigorous ROI calculations applied to the rest of the roadmap, which fosters necessary risk-taking.
Treat your product and engineering teams as stewards of the company's most precious capital: their time. A capital allocation framework forces leadership to ask if this "investment" is being spent on the initiatives with the highest strategic return, not just fulfilling requests.
Caterpillar modernized the classic Three Horizons innovation model by focusing on the nature of the work rather than timeframes. Their C.A.T. (Core, Adjacent, Transformational) framework allocates resources (e.g., 70/20/10) to improving current products, exploring related opportunities, and pursuing breakthrough innovations, making strategic planning more flexible and actionable.
Instead of asking for a new budget for innovation, first use data to identify and fix product flaws that drive operational costs. The resulting savings create free cash flow that can be reinvested into growth projects. This approach proves value and decreases risk.
A holistic roadmap allocates capacity across four key areas: 1) optimizing the current product, 2) strategic innovation, 3) internal capability work (e.g., platform improvements), and 4) "run the business" support. This prevents a myopic focus on just customer features.
A product leader should actively manage development by allocating effort into three buckets: future big bets, core foundation (stability/tech debt), and growth/optimization. The resource allocation isn't fixed; it must dynamically shift based on the product's maturity and immediate business goals.
To balance current needs with future innovation, Aliaswire uses a layered approach: 60-70% on core business, 20% on adjacent opportunities, and 15-20% on exploratory work. Crucially, this exploratory budget isn't for side projects; it's fully funded with dedicated staff, clear hypotheses, and predefined "kill criteria" to ensure discipline.
To secure a budget for strategic innovation in a public or PE-owned company, link it directly to investor perception. Instead of calling them "future bets," frame initiatives as essential "proof points" the market needs to see to re-value the company as a high-growth technology platform, not a legacy distributor.
Scientists are naturally curious, but their potential is constrained by budgets focused solely on building pre-defined solutions. Allocating resources for R&D to investigate the 'why' behind a user problem unleashes their creativity, leading to multiple innovative solutions and a robust product pipeline.