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Understanding innovation · Part II · From laboratory to market

08 · Innovation strategy and portfolio

13 min read

In brief

  1. Innovation projects have uncertain outcomes by nature: rationality does not live at the level of the single project but of the portfolio, where statistics work in favour of whoever has enough attempts, discipline in selection and the courage to stop.
  2. A portfolio is judged on three dimensions: expected value, balance (between time horizons, levels of risk, technological areas) and alignment with strategy; maximising the first while ignoring the other two produces fragile or incoherent portfolios.
  3. The empirical evidence indicates the dominant error in practice: too many projects for the available resources. Dilution lengthens every timescale, lowers the quality of everything, and generates the zombie project, neither stopped nor adequately financed.
  4. Roadmapping connects problems, technologies and timescales on a common horizon; technology intelligence (scouting, patent analysis, scientific monitoring) feeds the portfolio and watches for threats.
  5. Stopped concepts are not waste: documented and protected, they are options that future circumstances can reopen. The stock of concepts is an asset of the portfolio, with a value that real options theory makes explicit.

Section 1

Why the portfolio, and not the project, is the unit of management

The preceding chapters have built the discipline of the single project: validate the problem, buy information at minimum cost, commit capital against evidence. But even the perfectly managed project remains a bet with an uncertain outcome: risk management reduces the probability of failure, it does not eliminate it, and for the most ambitious innovations the residual probability remains high by construction. The logical consequence: an organisation that lives off innovation cannot entrust its fate to a single outcome. Rationality moves up a level, from the project to the portfolio, where three properties become manageable.

The first is statistical: with enough independent attempts, aggregate variance falls and successes, however individually unpredictable, become collectively expected; chapter 10 will show that in the strongly asymmetrical distribution of innovation returns the number of attempts is not a detail but the condition of access to the tails where the value lives. The second is informational: the projects in a portfolio share learning (a technology validated in one project serves the next, an open channel is reused), and this turns part of the cost of failures into reusable investment. The third is allocative: only at portfolio level does the question "does this euro yield more here or elsewhere?" exist, and that is the question that disciplines both entries and stops.

R&D portfolio management has a consolidated empirical literature (Cooper, Edgett and Kleinschmidt are its principal references), and its recurring diagnosis deserves to open the chapter because it describes the most widespread error: most organisations have too many active projects for their resources. The causes are structural (opening a project is gratifying and visible, stopping it is painful and contested; entry criteria are weaker than declared; nobody holds the complete inventory) and the effect is dilution: every project proceeds with fewer resources than it needs, all timescales lengthen, the quality of the work falls everywhere, and the time windows of chapter 05 close while the projects queue up behind one another. The chronic form of dilution is the zombie project: too little financed to advance, too little examined to be stopped, it consumes indefinitely the scarcest resource (the attention of the best people) while returning options that nobody will exercise. A portfolio is judged also by how many zombies it tolerates.

Section 2

Balance: horizons, risk, composition

If the portfolio is the unit of management, its first designable property is its composition. The most widespread framework for reasoning about it is that of the three horizons (Baghai, Coley and White, The Alchemy of Growth, 1999): horizon 1 gathers the extension and defence of the current business (for an innovation portfolio: incremental projects on existing lines); horizon 2 the emerging opportunities under construction (projects that open new lines on adjacent capabilities); horizon 3 the options on the future (long-term explorations, immature technologies, markets that do not yet exist). The point of the framework is not the labels but the obligation it imposes: to make explicit the distribution of capital and attention among the three, because the implicit distribution, left to spontaneous dynamics, converges systematically on horizon 1 (which has the customers, the numbers and the urgency on its side) and starves the other two, reproducing at portfolio level the exploration-exploitation imbalance that chapter 16 will treat at organisational level. The right proportions are not universal: the often quoted 70-20-10 rule is a managerial anecdote, not an empirical result, and the correct split depends on the speed of the sector, the competitive position and the stage of the organisation. What is universal is the requirement of explicitness: the split must be a declared and revisited choice, not an accounting residue.

Alongside the horizons, classic balancing crosses risk and expected value: the resulting matrix distinguishes pearls (high value, high probability), oysters (high value, low probability: the bets that justify the portfolio), bread and butter (low value, high probability: useful, but a portfolio full of it is an annuity disguised as innovation) and white elephants (low value, low probability: candidates for stopping that survive thanks to sunk costs and attached sponsors). Here too the function of the matrix is diagnostic before it is prescriptive: it forces the shape of the portfolio to be seen, and the pathological shapes (all bread and butter, or a single large gamble that concentrates the risk) are visible only from above.

Section 3

Roadmapping and technology intelligence: the time dimension and the outside dimension

Roadmapping. The portfolio lives in time, and the instrument that organises its temporal dimension is the technology roadmap: a representation over a multi-year horizon that aligns three layers (the evolving problems and markets; the planned products and solutions; the necessary technologies and capabilities) and makes the dependencies between them visible. The question the roadmap answers is not "what will we do" in the sense of a rigid commitment, but "what has to be true, and when, for what we want to do to be possible": which technologies must mature by which date, which competencies must be acquired before which project, which market windows impose which upstream deadlines. In deep tech portfolios, where technological maturation times (chapter 06) are long and adoption windows (chapter 05) do not wait, the roadmap is the instrument that prevents temporal incompatibilities from being discovered when it is too late to remedy them.

Technology intelligence. The portfolio needs eyes turned outwards, for two symmetrical functions: to feed it (identifying technologies, problems and partners that deserve to come in) and to watch over it (spotting threats: the substitute technology climbing its S-curve, the competitor that is moving, the dominant design that is approaching). The instruments can be systematised: monitoring of the scientific literature and of conferences for upstream technologies; active scouting of startups, laboratories and expert networks; and patent analysis, which deserves a note because it is the most underused source. Patents are public strategic information: who files what, in which technological classes, with what acceleration, reveals competitors' investment directions years before the products; citations between patents map technological dependencies; the gaps in crowded classes signal open spaces. Chapter 12 will treat patents as an instrument of protection; here they should be registered as an instrument for reading the landscape, usable even by those who do not file.

Section 4

Entries, exits and the value of what is stopped

Entry and exit criteria are the immune system of the portfolio, and their practical asymmetry has to be corrected with the opposite asymmetry in the design: since opening is easy and closing is difficult, entry criteria must be demanding and exit criteria as automatic as possible.

Disciplined entry requires the candidate project to pass three examinations: absolute merit (the problem validated according to chapter 02, with a plausible route to a solution), relative merit (it yields more than the alternatives in the queue, including the alternative of reinforcing existing projects: every entry competes with everything), and compatibility (the necessary competencies exist or can be obtained; the balance of the portfolio allows it; the roadmap places it). The third examination is the one that organisations skip most often, and it is the cheapest to carry out.

Disciplined exit rests on the gates of chapter 07 (criteria declared beforehand, evidence examined by someone with no sunk costs) with the addition of the portfolio perspective: the question at the gate is not only "does this project deserve the next euro?" but "does this euro yield more here or in the best project in the queue?". It is the question that sunk costs and sponsors do not want to hear, and it is the reason why it has to be institutionalised: periodic portfolio reviews with the complete inventory in front of you, not project-by-project decisions in separate rooms.

The value of what is stopped. A project stopped with method does not return zero. It returns learning (the refuted hypothesis that will avoid the same error elsewhere), sometimes reusable technology, and above all a documented concept: the problem analysed, the mechanism verified as far as it was taken, the risks named, any intellectual property. Real options theory gives this residue its proper name: an option, the right without the obligation to reopen when circumstances change; and circumstances do change, because enabling technologies mature (the cost that made the concept uneconomic falls along its curve), markets move, regulations open spaces. The most cited historical case is Corning's Chemcor glass: developed in the 1960s, without a market at the time, archived with its documentation, and reopened more than forty years later when mobile telephony created demand for a thin, scratch-resistant glass; commercialised as Gorilla Glass, it has become one of the company's main products. The condition for the option to exist is archival discipline: the stopped concept must be documented as if it were to be reopened by others, the intellectual property maintained where the cost justifies it, and the inventory of concepts reviewed periodically in the light of what has matured in the meantime. A mature portfolio therefore has two inventories: the active projects and the waiting options, and the second is an asset, not a graveyard.

In the Volcano method

This chapter gives the theory of the portfolio: 61 own projects, each published with its own status and its own TRL, managed explicitly as a portfolio and not as a sum of initiatives. The entry criteria of section 4 correspond to the declared filters of the method: the problem verified and of high impact (absolute merit), and the compatibility criterion in its sharpest form ("if a problem demands a discipline that we neither have nor know how to obtain, that project is not opened"). Stops follow a public protocol, the four risk questions always applied in the same order plus the decision window, that is, the automatic exit that section 4 recommends against the discretion of sponsors. The stock of concepts is the item that the model explicitly calls by that name ("patrimonio de conceptos"), with the indicative valuation of the portfolio declared as an asset that precedes every new venture: it is the inventory of options of section 4, made possible by the intellectual property structure (chapter 12) that keeps the IP of stopped projects in the hands of its owners, reusable in later initiatives. The balance of section 2 can be read in the declared sector composition (energy, mobility, agritech, healthtech, circular economy, industrial digital) resting on the common core of competencies; the choice of high-impact problems with solutions that are disruptive where possible deliberately places the centre of gravity of the portfolio on the oysters of the matrix, with de-risking by phases (chapters 06, 07 and 09) as the mechanism that makes that position sustainable.

Readings

Further reading

  • R.G. Cooper, S.J. Edgett and E.J. Kleinschmidt, Portfolio Management for New Products (2nd edition, 2001): the empirical reference of the discipline, with the diagnosis of too many projects and the methods of balancing.
  • M. Baghai, S. Coley and D. White, The Alchemy of Growth (1999): the original formulation of the three horizons.
  • R. Phaal, C. Farrukh and D. Probert, "Technology Roadmapping: A Planning Framework for Evolution and Revolution" (Technological Forecasting and Social Change, 2004): the methodological frame of roadmapping in the Cambridge school.
  • R.G. McGrath, "Falling Forward: Real Options Reasoning and Entrepreneurial Failure" (Academy of Management Review, 1999): real options reasoning applied to stopped projects, the theoretical foundation of the value of the stock of concepts.

Frequently asked questions

Frequently asked questions

We have already invested a lot in a project: does stopping it now not waste the investment?

The past investment is spent in any case, whatever is decided: the only rational question concerns the next euro, and whether it yields more in this project or in the best one in the queue. What the project has produced (learning, technology, documented concept, IP) remains acquired even if it is stopped, and it is precisely the discipline of documentation that turns the stop from a loss into an option. Continuing in order not to "waste" the past is the operational definition of the sunk cost error.

How many projects are too many?

When the question becomes necessary, the answer is almost always: the current ones. The signal is not an absolute number but the symptoms of dilution: timescales lengthening everywhere, key people fragmented across many fronts, projects that advance in fits and starts between long waits, zombies that nobody finances or stops. The practical test: if the resources freed by stopping the worst quartile would visibly accelerate the rest, the portfolio was overcrowded; the empirical evidence says that this test, when it is carried out, almost always confirms it.

Is the 70-20-10 split between the three horizons the right rule?

It is an anecdote useful as a reminder, not an empirical result: the correct split depends on the speed of the sector, the competitive position and the stage of the organisation, and for an operator whose mission is exploration (such as a venture builder) the centre of gravity lies structurally further forward. The real rule is a different one: the split has to be explicit, decided and revisited, because the implicit one always converges on the short horizon.

What is the point of keeping concepts that we have decided not to develop?

They are options, and options have value because circumstances change: enabling technologies falling in cost, markets opening, regulations creating demand. The Corning case (a glass from the 1960s that became Gorilla Glass forty years later) shows the scale this value can reach. There are three conditions for the value to exist: documentation made to be reopened by others, intellectual property maintained where the cost justifies it, and periodic review of the inventory in the light of what has matured in the meantime.

We choose to go to the Moon in this decade and do the other things, not because they are easy, but because they are hard.
John F. Kennedy, 1962
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