Most innovation leaders can sketch an innovation pipeline or portfolio model on a whiteboard in under five minutes. McKinsey’s Three Horizons. The Innovation Ambition Matrix (maybe better known as the Core–Adjacent–Transformational framework). Strategyzer’s Explore-Exploit portfolio map.

The frameworks are well known. The terminology is shared. And yet, in practice, most organizations still struggle with a basic question: “Do we actually have one shared, transparent view of our innovation pipeline and portfolio?”

For many, the honest answer is “no”.

The real challenge isn’t the framework – it’s the information

Across large organisations, innovation portfolios often exist as a patchwork: A PowerPoint snapshot for the board, a handful of Excel sheets owned by different units, a project list somewhere in the PMO tool, or a few critical initiatives tracked off-system in people’s heads.

At the core of the issue is a failure to agree on what information truly matters, and how to track it consistently across the lifecycle.

In our work with innovation leaders across industries, we see the same pattern repeatedly:

• Too many attributes being tracked
• Lack of a shared set of key portfolio attributes
• Attributes that change over the life cycle
• Financial metrics applied too early
• Multiple Excel sheets and duplicated reporting efforts

The result? Portfolio efforts start with ambition, lose momentum, and stall – or survive only as ad hoc reporting exercises. And as a consequence don’t support consistent decision-making.

Six dimensions that consistently make the difference

Teams that manage to establish a single, shared portfolio view tend to converge on a surprisingly small set of core dimensions. Not dozens. Not hundreds. But six.

1. Domain / Driver: Why does this initiative exist?

Every innovation initiative should clearly answer: What domain does the opportunity belong to? Which strategic driver does the initiative support? Or which strategic priority does the initiative serve?

At a general driver level, this might look like:

• Revenue growth
• Cost reduction or operational efficiency
• Sustainability or compliance
• Digitalisation of the business
• Exploration of entirely new domain.

Without this anchoring, portfolios devolve into collections of projects rather than a strategic instrument to drive innovation in the areas that matter most to the business. The aim is not to track all of these attributes, but to choose the one that provides the right level of specificity for explaining why an initiative matters to the business.

2. Ambition level: How new is this really?

Classic models like the Three Horizons or Core–Adjacent–Transformational can be powerful because they force a conversation about the level of ambition.

Below the surface, this dimension can be broken down into technology or solution newness and market or customer newness. But typically we find that it is sufficient to track opportunities as core, adjacent, or transformational.

This dimension helps leaders balance incremental improvements versus more transformational bets. And critically it can help avoid comparing fundamentally different initiatives on the same terms.

3. Business potential: If it works, will it move the needle?

One of the most common portfolio traps is financial false precision. Early-stage initiatives are often forced into total addressable market estimations, detailed business cases, Net Present Value (NPV) calculations long before the problem-solution fit has even been validated.

For portfolio-level overviews, what works far better is focusing on business potential and gauging this in bands or categories, for example on a scale of “1 – EUR 0-50k” to “5 – EUR 50m+”. As the innovation opportunity is shaped, validated, developed, and launched, a set of supporting measures can expanded, e.g. from total addressable market, over peak revenue potential, to NPV. And the level of certainty about the business potential will increase.

Tracking business potential in bands or categories allows for a shared view across all stages of the innovation pipeline. And the broad categories can also be developed to ensure alignment and comparability between top-line growth opportunities and cost-savings opportunities.

4. Time horizon: When could value realistically materialise?

Time is the most underappreciated portfolio dimension. But with leadership always under pressure to deliver results, this may be the second most important attribute after business potential.

Portfolios typically distinguish between:

• Time to market
• Time to value
• Time to break even
• Time to full impact

With time to market or time to value often being the attributes that can best be tracked across the pipeline.

5. Degree of certainty: How sure are we – really?

High-performing portfolios explicitly track degree of certainty, whether expressed as:

• Degree of certainty
• Probability of success
• Innovation risk

The goal is not to eliminate uncertainty – that would kill innovation – but to make it visible so that risk exposure is intentional, not accidental.

In later stages of the innovation life cycle, the degree of certainty can be detailed in terms of degree of certainty about desirability / market readiness level, feasibility / technology readiness level, viability, and sustainability.

6. Progress: Is this actually moving forward?

Finally, progress must be more than stage gates. Effective portfolios combine:

• Stage (discovery, shaping, validation, development, launch, …)
• Progress within stage
• Overall project health

This shifts the conversation from “Do we have the right projects in the portfolio?” to “Are the projects in the portfolio in good shape and progressing?”

One more thing: choose attributes that survive the lifecycle

A subtle but critical insight: portfolio attributes should remain valid from early exploration to launch and scale.

That is why:

• Business potential works better than NPV
• Expected time to value works better than time to break even
• Degree of certainty works better than technology readiness level

When attributes can’t be tracked through the lifecycle, the portfolio view fragments – and trust erodes.

Tools matter more than most leaders think

Even with the right dimensions, many organisations still struggle. Why? Because portfolios only work if:

• Project owners can update information easily
• Data is captured once, close to the source
• Visualisations don’t have to be made by hand in PowerPoint
• Overviews work at board, leadership, and execution level

Static slides don’t scale. Spreadsheets don’t invite ownership. Generic project tools don’t reflect innovation reality. This is where purpose-built innovation portfolio platforms enter the picture.

The Nosco Platform enables organisations to:

• Track the right attributes consistently across all initiatives
• Give project owners simple, intuitive ways to update progress
• Maintain one shared, real-time view of the pipeline and portfolio
• Visualise business potential, progress, degree of certainty, and project health by strategic priority without manual reporting

Innovation portfolios don’t fail because leaders don’t know the models. They fail because organisations don’t operationalise the few dimensions that actually drive clarity and decision-making. When those six dimensions are finally in place, your pipeline and portfolio overview can become a strategic advantage.

For many years, in our work with innovation portfolios, we’ve seen organizations pour immense time, money, and energy into Project Portfolio Management (PPM) tools – yet PMO and innovation leaders report the same recurring frustrations: low adoption, stale data, endless manual workarounds, and a widening gap between how teams actually deliver work and how PPM tools expect work to happen.

We’ve even heard from companies that have spent two years trying to make Microsoft’s PPM stack work for them before ultimately abandoning the effort. Not because their PMO was immature. Not because their teams resisted change. But because the tool was simply not built for the way their organization actually delivers work.

While vendors promise structure, oversight, and strategic clarity, the reality inside many PMOs looks very different. At the heart of the failure lies a rarely discussed but deeply systemic issue:

PPM tools are far too tightly linked to the execution layer.

And that single flaw sets off a chain reaction of pain for PMOs, teams, and executives alike.

1. When the PPM Layer Mirrors the Execution Layer Too Closely

Most legacy PPM systems were born in a waterfall world. Their data models assume predictable phases, homogeneous project types, and one “proper” way of doing projects.

But modern organizations don’t work like that. In a single portfolio, you are likely to see:

• Classic waterfall projects (often PRINCE2‑style)
• Agile delivery (Scrum, Kanban, SAFe, “generic agile”)
• Hybrid models that keep evolving

When the PPM tool is tightly coupled to any one of these ways of working, it becomes brittle and exclusionary. Instead of mirroring business reality, it enforces methodology dogma.

The result is a portfolio layer that doesn’t really represent the portfolio.

2. A Forced Waterfall Mindset in a Hybrid World

When the PPM tool’s underlying logic mirrors waterfall, everything – from project setup to reporting – assumes linear, gated, phase-based progression. This leads to PMOs experiencing:

• Difficulty onboarding agile projects
• Inability to map iterative delivery into rigid structures
• Teams forced to “waterfallize” their work to satisfy reporting needs
• Frustration from product owners, scrum masters, and dev teams
• Reports that misrepresent what is actually happening

No wonder teams resist entering data – the system simply doesn’t reflect their world.

3. Lack of Flexibility: Multiple Ways of Working, One Way of Reporting

A modern PMO must accommodate coexisting, parallel, and evolving delivery models. But PPM tools often demand:

• One standard structure
• One lifecycle
• One definition of “project”
• One way to forecast, plan, measure, and report

This rigidity forces the PMO to spend enormous energy translating, coaching, and manually reconciling mismatches between how work is done and how the tool wants it done. And every manual workaround widens the trust gap between PMO and delivery teams.

4. Usability Issues That Guarantee Low Adoption

Layered on top of all this is the user experience problem. Most PPM tools suffer from:

• Too many mandatory fields
• Confusing navigation
• Rigid workflows
• Steep learning curves
• Burdensome data entry
• Inconsistent UX across modules

This leads to the most predictable outcome in the PMO universe:

Low adoption → stale data → loss of trust → manual workarounds.

And once the PMO resorts to spreadsheets “to make the tool work,” the entire business case for the PPM system collapses.

5. When Systems Don’t Get Updated, the PMO Becomes the Workaround Factory

Because teams avoid the tool, portfolio reviews rely on offline summaries, and status reports are made in PowerPoint.

Instead of enabling strategic decision-making, the PMO becomes an administrative buffering layer between teams and executives. PPM tools should eliminate this burden – not amplify it.

So What’s the Real Takeaway?

Most PPM tools fail because they operate on an outdated assumption:

That portfolio management is just an aggregated view of project execution.

But portfolio management is a translation layer, not an extraction layer. It requires judgment, pattern recognition, scenario analysis, prioritization, and strategic sense-making – not raw task-level data pulled from MS Project or Jira.

Until PPM tools decouple themselves from the execution layer and allow PMOs to define flexible, human-centered models of work, PMOs will continue to struggle with:

• Low adoption
• Inaccurate reporting
• Manual workarounds
• Misalignment between strategy and delivery

The future of portfolio management is not ever‑tighter technical integration with every execution tool.

 It is:

• Looser coupling between portfolio and execution  
• Smarter abstraction of data into decision‑ready signals  
• Flexible ways of working and reporting that can embrace new delivery models instead of fighting them

At Nosco, we see this every day when innovation initiatives move from ideas to funded projects. The PMO’s real value is to connect strategy and delivery across many ways of working – not to force everyone into one template.

If you’d like to explore what a more flexible, loosely coupled portfolio layer could look like in your organization, we’d be happy to talk. Reach out to us at Nosco.

What is License to Innovate, and why do organisations need it?

License to Innovate is a structured programme designed to bridge the gap between ideation and project execution. Many organisations struggle with stalled projects, unclear ownership, and a lack of formal processes in the early stages. License to Innovate helps teams shape and validate their ideas, accelerate high-value projects, and upskill employees in practical innovation methods. 

What are the most common challenges you see in project pipelines?

There are usually too many projects, too few, or projects that simply aren’t advancing. Resources get spread thin, and stakeholders lose trust when profits and cost savings aren’t met. Often, there’s no clear way to assess project health, low stop rates, and missing links to strategy or leadership. Teams may lack experience in validation, be too homogeneous, or not feel truly accountable for their projects. 

How does License to Innovate address these challenges?

The programme runs in two main phases: shaping and validation. First, we select important and urgent projects—sometimes those that are underperforming—and run a detailed shaping workshop. Teams clarify the problem, the solution, and how to present their project for validation. After a rehearsal pitch, only the strongest projects move forward. In the validation phase, teams work in sprints, with regular review meetings and clear deliverables. We coach project leaders and teams, and even support leadership in gate meetings to ensure alignment and value.

What makes the shaping phase so important?

Shaping is about getting projects ready for validation—whether they’re brand new ideas or mature projects that need a rethink. It’s a chance to ensure teams know who their project is for, how they’ll deliver it, and how to present it clearly to decision-makers. High-quality pitches and a uniform approach help leadership understand progress and make informed decisions. 

How does the validation phase work?

Validation typically runs for three months, though some projects may need more time. Teams develop a master plan, set clear tasks, and work closely with sponsors. Monthly review meetings focus on learning and problem-solving, not just reporting. We provide tools and methods for market validation, customer interviews, and evidence gathering. The goal is to prove desirability, feasibility, and viability before scaling up. 

Can License to Innovate fit with existing stage gate processes?

Absolutely. Many companies use License to Innovate as a front-end to their stage gate model, or as a way to rethink early phases. It’s about making sure the right things happen at the right time—avoiding the “business case trap” too early, and allowing for iterative learning. The programme adapts to both new and mature projects, and helps teams avoid common pitfalls. 

What types of projects benefit most from License to Innovate?

It works for everything from new product development to manufacturing optimisation, global rollouts, and even AI projects. The methods introduced spill over into other projects, improving project management and team accountability across the board. Whether you’re dealing with uncertainty, complexity, or just need to accelerate progress, License to Innovate provides the missing piece. 

What’s your advice for organisations considering License to Innovate?

Start by identifying your strategic priorities and the projects that matter most. Use License to Innovate to focus resources, accelerate learning, and build capability. It’s not just about getting projects done—it’s about upskilling your people and creating a culture of experimentation and continuous improvement.

Why are AI idea campaigns important for organisations right now?

AI is everywhere—there’s a lot of hype, a lot of investment, and huge expectations. But if you look at the numbers, only a small percentage of organisations actually achieve measurable business value from AI. The challenge isn’t just about technology; it’s about making AI relevant to real business problems. That’s where idea campaigns come in—they help organisations connect AI to the issues that matter most. 

What’s the biggest mistake companies make when investing in AI?

Often, investment in AI doesn’t follow the usual innovation process. Instead of starting small and learning as you go, many organisations are making big bets, focused on building. The result is lots of activity, but not much achievement. To get real value, you need to organise AI projects more like innovation projects: small bets, iterative learning, and a focus on business outcomes. 

How should an AI idea campaign be structured?

Start by inviting everyone—or everyone relevant—to share ideas about how AI could improve their work. Use the campaign as a chance to teach people about AI, its possibilities, and its limitations. Once you’ve collected ideas, evaluate them and select the best ones. Form cross-organisational teams around those ideas, making sure you mix business experts with AI specialists. Then, run a shaping phase where teams clarify the problem, explore solutions, and assess the potential. The best ideas move into a three-month validation process, where teams experiment and prove the concept. 

Why is it important to mix business and AI specialists in teams?

Too often, AI projects are led by IT and staffed by specialists who don’t have enough contact with the business. That can lead to solutions that don’t address real problems. By mixing domain experts with AI specialists, you ensure that projects are driven by business needs, not just technology. The teams start by focusing on the business problem, then bring in the AI expertise to see what’s possible with the data and technology. 

What are the key ingredients for a successful campaign?

• Focus on real business problems, not just technology for its own sake.
• Build cross-functional teams, ideally self-appointed and motivated.
• Organise the process in sprints, so it’s truly iterative and experimental.
• Promote a culture of exploration and learning, not perfection.
• Make sure there’s a validation phase to test and prove ideas before scaling. 

What challenges should organisations expect?

Expect some “analysis paralysis”—especially in regulated industries or where innovation isn’t the norm. People may be unsure where to start, or worried about governance and compliance. Use the campaign to educate, demystify AI, and encourage experimentation. Not every idea will be an AI solution, and that’s fine—the process helps teams discover what works and what doesn’t. 

What results have you seen from running AI idea campaigns?

We’ve seen high engagement, even in organisations where innovation is new. Campaigns generate a wide variety of ideas, from simple process improvements to technical solutions. Some ideas are already being built within departments, and the campaign helps spread a culture of experimentation—like the “5% for tomorrow” initiative, where employees dedicate time to future-focused projects. The key is to keep learning, sharing stories, and building on what works.

The Core Idea Behind Industry Standards

The core idea behind any industry standard is that it serves as a measuring stick to determine whether “what we say we do” aligns with “what we actually do.” It provides a quality stamp and an evidence-based evaluation tool that creates the necessary framework for improvement, supporting innovation efforts and ultimately improving business impact.

Nowhere is this more critical than in corporate innovation, where research shows that 83% of companies rank innovation among their top three priorities, yet only 3% consider themselves truly “Innovation Ready.” This gap between intention and implementation is precisely where ISO 56002 can be transformative.

This article is aimed at innovation managers, chief innovation officers, and executives seeking a structured approach to improving the outcomes of their innovation efforts.

As discussed in our first article, “ISO 56002 standard – an Oxymoron, a Help, or a Bureaucratic Nightmare?” (to read it, click here), innovation and standards may seem conflicting, but they are not. Innovation needs structure to thrive. The standard and its assessment system provide that structure and a systematic approach to transforming innovation into a strategic business function.

The innovation team can use the framework to engage with the executive team by presenting an assessment of the current level, identifying gaps, and offering recommendations. It can also be used externally to demonstrate the correlation between “what we say we do” and “what we actually do.”

Why Innovation Assessment Matters: The Strategic Imperative

Innovation is not optional; it is a core driver of modern business success.

The Draghi report concludes that Europe is falling further behind in global competitiveness, especially compared to the United States and China, and that urgent, coordinated action is needed to address this gap. The report highlights chronic low economic growth, a widening innovation gap, and structural barriers that hinder the scale-up and commercialization of innovative companies.

Numerous reports have documented the need for companies and organizations to update their innovation operating models and measure the impact of their innovation efforts. An Innovation Management System (IMS), guided and assessed by the ISO 56001 and ISO 56002 frameworks, offers a structured and holistic approach to transform creative efforts into systematic, strategic assets that deliver measurable results.

ISO provides an overarching management system that is internationally recognized and approved, helping to ensure quality, drive improvements, and increase the likelihood of delivering meaningful impact. ISO 56002 can be integrated into an organization’s overall management and leadership structure.

The Framework: Seven Dimensions of Innovation Excellence

True value emerges when organizations move from words to action through a comprehensive assessment framework. We have adapted the innovation model with the Nosco framework so that it is fully aligned with ISO 56002, integrating all seven key dimensions of an effective IMS:

1. Context of the Organization

The company must analyze how both internal and external factors impact innovation, ensuring activities are strategically relevant and aligned with competitive pressures. This includes market trends, technological developments, internal capabilities, and stakeholder expectations.

This analysis should be translated into practical guidance:

• What to search for

• Where to play

• How to focus innovation efforts

We refer to these as innovation strategy, search fields, and opportunity spaces. They guide ideation and help populate innovation pipelines with relevant ideas.

2. Leadership: The Foundation of Innovation Culture

Vision and strategy must be translated into innovation search fields and opportunity spaces. Leadership requires future-focused thinking and clear strategic direction, including:

• Meetings that prioritize ideas and allocate resources (time and money)

• Clearly defined roles for leadership and management

• Regular executive attention devoted to “tomorrow’s business,” not just today’s operations

3. Planning: Strategic Innovation Portfolio Management

A structured process ensures innovation initiatives align with organizational goals. This includes:

• Portfolio management with balanced approaches for time and risk

• Clear evaluation criteria for all ideas

• Defined objectives for each stage with ROI and impact measurement

• Structured processes for ideation, shaping, validation, and acceleration

4. Support Structures: Enabling Innovation Success

A robust support system goes beyond resources—it includes transparent digital infrastructure to connect and empower the innovation process.

Key elements include:

• Centralized digital platforms (e.g., Nosco) for idea submission, tracking, evaluation, and advancement

• Transparency on progress and executive engagement in reviews

• Access to best-in-class tools and methods at every stage

• Systematic capability building through programs such as “License to Innovate”

This ensures consistency, quality, and a culture of continuous learning.

5. Operations: Excellence in Innovation Execution

Execution focuses on implementing projects using best practices, tools, and methods—from idea generation through commercialization.

A systematic framework allows for learnings, improvements, and efficient lifecycle management of innovation projects.

6. Performance Evaluation: Evidence-Based Innovation Management

Audit and feedback processes ensure claimed impact is measured when ideas or projects go live. Regular evaluation enables:

• Tracking progress

• Identifying improvement areas

• Making data-driven adjustments to optimize the IMS

7. Continuous Improvement: Dynamic Innovation Evolution

An effective IMS incorporates feedback, lessons, and new insights for ongoing improvement. This includes:

• Performance metrics (time-to-market, ROI, customer satisfaction)

• Feedback mechanisms from stakeholders

• A culture of learning from failures

• Agility to adapt to shifts in technology and markets

• Knowledge management systems to capture and share insights

Leadership Assessment: Where Transformation Begins

As with many business practices, effective innovation starts at the top. Leadership must actively engage and dedicate time to “tomorrow’s business.” Without this, results become inconsistent and unsustainable.

Challenges include:

• Difficulty in finding good ideas without direction

• Lack of transparent resource allocation, leading to random outcomes

Criteria for “the best” ideas should be clear—supported by market demand, company capabilities, and strategic value.

Examples of Innovation Assessment Outcomes

• Time allocation: An assessment revealed executives dedicated little time to “tomorrow’s business.” The solution: quarterly meetings focused solely on innovation, prepared by the innovation team and led by the CEO.

• Zombie projects: Several projects lacked sponsor attention for months. After review, 30% gained new momentum while the rest were closed.

• Resource dedication: Leading organizations dedicate budgets and FTEs specifically to innovation, ensuring measurable commitment.

• Systematic improvement: Regular innovation assessments correlate with higher innovation culture scores, stronger engagement, and higher growth rates.

Conclusion: Innovation as Sustained Competitive Advantage

ISO 56002 transforms innovation from aspiration into strategic action by embedding systematic innovation management into leadership behaviors and daily routines.

• Step 1: Assess the current state of your IMS.

• Step 2: Establish regular assessments to drive continuous improvement.

The standard provides a clear pathway to close the gap between “what we say we do” and “what we actually do.” It inspires leaders to champion a culture of learning and evidence-based exploratory work.

The evidence is compelling: organizations that implement structured IMS demonstrate enhanced innovation capabilities, improved efficiency, and stronger stakeholder trust. They achieve faster time-to-market, higher returns on innovation investment, and resilient competitive advantages.

In today’s competitive landscape—where Europe risks falling behind—ISO 56002 offers a proven framework for sustainable renewal and systematic capability building. An Innovation Management System provides the structure to ensure that innovation becomes a strategic asset, actively shaping the future rather than just reacting to change.