Best Practices for Scaling Corporate Innovation

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Summary

Scaling corporate innovation requires businesses to balance creativity with sustainable growth by implementing structured processes that encourage experimentation, reduce risks, and align efforts with organizational goals. By combining frameworks like Lean Startup, Design Thinking, and agile methodologies, companies can effectively transform ideas into impactful, scalable solutions.

  • Shorten feedback cycles: Ensure faster learning by assessing small-scale experiments in days or weeks instead of waiting for long-term results, which might no longer be relevant.
  • Align teams with opportunities: Structure teams around specific problems or opportunities rather than predefined solutions to enable flexibility and innovation.
  • Create a phased approach: Separate innovation into distinct stages such as exploration, experimentation, and execution, with tailored budgets and success metrics for each phase.
Summarized by AI based on LinkedIn member posts
  • View profile for David Bland

    I help executives test strategy against reality | Co-author of Testing Business Ideas | Keynote Speaker | Podcast Host | Advisor

    38,920 followers

    Corporations collect frameworks, but have a hard time stitching them together into something that makes an impact. Lean Startup is great at applying scientific method to product but it isn't about lean and not just for startups. The build measure learn loop shouldn't start with build. Once you start with build, teams rarely make it to learn. Design Thinking is great at generating empathy but rarely quantifies whether the desirability insights will ever lead to business viability. You spend way too much time on what the customer needs and then have a hard time taking it forward into a real business. Design Sprints are great but they treat validation as a one off event, pushing the validation to the end of the sprint. Some design sprints don't even involve the customer, which makes them more of an Art Sprint than anything else. SAFe is great for industrializing delivery. It looks very thorough until you realize the ideas you poured into the top of the machine were full of assumptions that weren't allowed to be validated. All aboard the release train, next stop, a product that no one uses. Each framework excels at something, but none were built to systematically extract, rank and address risk. The result is a gap between activity and evidence. Teams are busy, metrics go up and to the right, but leadership can't see if any of this leads to more revenue or not. We need to fill these gaps, now. 1️⃣ Shorten Learning Feedback Cycles - Markets change within weeks, not years. When your evidence only appears at the end of a phase or sprint, the learning arrives after the evidence expires. Create a sense of urgency in that we need to learn to make smaller decisions in days and weeks, not months and years waiting for the ultimate proof. 2️⃣ Practice Funding Discipline - Stop giving too much money to teams early on in the process. They optimize for building, not learning. They are not incentivized to reduce risk by testing. Meter your funding in tranches based on alignment to your vision and evidence provided of traction. 3️⃣ Organize Teams Around Opportunities - Don't name your teams after a solution you have in mind. Doing so will prevent the team from ever pivoting away from it, even if there is no demand for the solution. Instead organize around opportunities and give yourself permission to increase the team size once you have evidence of fit. What else would you add to this list to help stitch what works together and close the gaps for your company? ♻️ If this resonates, repost or even share this with your leadership team 🩷 Like this if you want more spicy takes from a guy named Bland.

  • View profile for Will Bachman

    My mission is to help independent professionals thrive. What's yours? | McKinsey alum | Former nuclear-trained submarine officer

    106,091 followers

    Planning something new? Clients of the Umbrex Innovation Practice asked us to compile a set of tools, frameworks, and templates needed to drive innovation from ideation to execution. The result is the Corporative Innovation Playbook. Whether you’re launching a centralized innovation hub, deploying design thinking at scale, or building an ecosystem of startup partners, this guide provides a comprehensive, step-by-step roadmap. Learn how to structure innovation governance, fund portfolios, build capabilities, and scale impactful initiatives—while avoiding common pitfalls and aligning with enterprise strategy. Table of Contents: Chapter 1. Foundation and Context 1.1 Purpose and Scope of the Playbook 1.2 Definitions and Taxonomy of Innovation Types 1.3 The Innovation Imperative in Corporations 1.4 Common Barriers to Innovation 1.5 Quick‑Start Assessment Checklist Chapter 2. Innovation Strategy and Governance 2.1 Aligning Innovation with Corporate Strategy 2.2 Setting Innovation Ambition and Goals 2.3 Governance Structures and Decision Rights 2.4 Strategy Development Step‑by‑Step Guide 2.5 Governance Charter Template 2.6 Executive Steering Committee Checklist Chapter 3. Portfolio Management and Funding 3.1 Portfolio Segmentation Framework (Core, Adjacent, Transformational) 3.2 Stage‑Gate vs. Venture Portfolio Approaches 3.3 Funding Models and Budget Allocation Methods 3.4 Portfolio Management Step‑by‑Step Guide 3.5 Investment Committee Checklist 3.6 Portfolio Dashboard Template Chapter 4. Culture and Leadership 4.1 Attributes of an Innovative Culture 4.2 Leadership Behaviors that Enable Innovation 4.3 Incentives and Recognition Systems 4.4 Culture Diagnostic Checklist 4.5 Leadership Activation Step‑by‑Step Guide Chapter 5 . Innovation Operating Model 5.1 Organizing for Innovation: Centralized, Hub‑and‑Spoke, Dual 5.2 Roles and Responsibilities Matrix 5.3 Process Governance and Stage Definitions 5.4 Operating Model Design Step‑by‑Step Guide 5.5 RACI Template Chapter 6. Ideation and Opportunity Discovery [abridged due to character limit] Chapter 7. Concept Development and Validation Chapter 8. Incubation and Experimentation Chapter 9. Acceleration and Scaling Chapter 10. Open Innovation and Ecosystem Partnerships Chapter 11. Corporate Venture Capital and M&A for Innovation Chapter 12. Technology and Digital Innovation Chapter 13. Metrics, KPIs, and Performance Management Chapter 14. Risk, Compliance, and Intellectual Property Chapter 15. Talent, Skills, and Capability Building Chapter 16. Infrastructure, Tools, and Platforms Chapter 17 . Communication, Change Management, and Stakeholder Engagement Chapter 18. Continuous Improvement and Innovation Maturity Chapter 19. Implementation Roadmaps and Templates

  • View profile for Shafiq Amarsi

    VP, Global Head of Commercial Operations, Delivery @ Uber Eats

    7,329 followers

    Scaling from the Core: Where Local Innovation Meets Global Scale Innovation at the Edge is only half the equation. To make it stick, and make it count, you need the Core. The Core is where we absorb what’s working at the Edge and bring it to life at scale. It’s where we apply operational rigor, systems thinking, and platform leverage to turn local hacks into enterprise-grade solutions. Take our LATAM DCO team’s automated monthly merchant business review builder. A brilliant Edge innovation that saves Account Managers 17+ hours of manual prep every month. In the Core, we asked: - How do we make this secure, reliable, and repeatable? - How do we integrate it into our global platforms? - How do we get it into the hands of every AM, in every market? Our Core teams in ops, IT, product and analytics are now working to take this local solution and scale it across markets. This is how the model works: - The Edge gives us speed based on merchant signals. - The Core gives us scale, consistency, and long-term impact. Our job in Delivery Commercial Operations is to create a flywheel between Edge teams and Core teams to pick up on innovations, bring those to the core, build at scale and push back out for all to benefit from. When you have that flywheel spinning the impact to our sales teams is exponential. In my next post, I’ll share how we create the conditions for this model to thrive, from org design to incentives to team culture. #EdgeToCore #UberEats #ScaleWhatWorks #SalesOperations #MerchantCentric #AI #CommercialExcellence

  • HOW TO CREATE SAFE SPACES FOR UNSAFE IDEAS You hire brilliant people and tell them to innovate. Then you make it impossible for them to do so. Most companies develop an immune system that rejects new ideas like they're some kind of virus. Here are the five innovation killers you need to spot and eliminate: KILLER #1: DEMANDING CRYSTAL BALL ACCURACY You want detailed business cases for projects that are inherently uncertain. The fix: Create different approval processes for exploration vs. execution. Exploration projects get smaller budgets and you measure success by what you learn, not what you earn. KILLER #2: BEING SCARED OF EVERYTHING Your processes are designed to avoid any downside risk, which also kills any upside potential. The fix: Separate "experiments you can't afford to mess up" from "experiments you can't afford not to try." Different projects, different comfort levels with risk. KILLER #3: MAKING INNOVATION FIGHT FOR SCRAPS Innovation projects have to compete with your proven money-makers for resources. The fix: Set aside dedicated innovation resources. 10% of engineering time, 5% of budget, just for projects where you don't know what'll happen. KILLER #4: JUDGING EVERYTHING ON QUARTERLY RESULTS You evaluate innovation projects on the same timelines as your day-to-day operations. The fix: Innovation gets measured by learning cycles, not calendar quarters. Success is about insights you gain, not deadlines you hit. KILLER #5: THINKING FAILURE MEANS SOMEONE SCREWED UP You define success as "execute the original plan perfectly." The fix: Success becomes "figure out what works as fast as possible." Changing direction gets celebrated, not punished. The framework that can transform your innovation culture: EXPLORE → EXPERIMENT → EXECUTE EXPLORE PHASE: Small budget, big questions. Win = quality insights. EXPERIMENT PHASE: Medium budget, specific hunches. Win = fast validation (or fast failure). EXECUTE PHASE: Full budget, proven concept. Win = flawless delivery. Different phases, different rules, different ways to win. Companies don't lack innovative ideas. They lack innovative environments. QUESTIONS TO DIAGNOSE YOUR INNOVATION IMMUNE SYSTEM: ❓How many good ideas die in approval meetings instead of real-world tests? ❓What percentage of your "failed" projects actually teach you something valuable? ❓How long does it take to get approval for a $10K experiment vs. a $10K efficiency upgrade? ❓Do your best people feel comfortable pitching risky ideas? If your best employee came to you tomorrow with a risky but potentially game-changing idea, would they feel safe pitching it? *** I’m Jennifer Kamara, founder of Kamara Life Design. Enjoy this? Repost to share with your network, and follow me for actionable strategies to design businesses and lives with meaning. Want to go from good to world-class? Join our community of subscribers today: https://lnkd.in/d6TT6fX5 

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