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Recognising Opportunities

Foundations of Business Development - NIT Northern Institute of Technology / TUHH, Hamburg · part of my Technology Management MBA · study notes for revision.


Chapter 1 defined entrepreneurship as recognising an opportunity and then exploiting it. This chapter is about the first half - the recognition. Where do good business opportunities actually come from, how do you turn a technology or a skill you already have into a set of possible applications, and how do you choose which one to chase first without betting the farm on a guess? That is the whole job here.

1 · What a business opportunity actually is

Section titled “1 · What a business opportunity actually is”

A business opportunity is a favourable set of circumstances that makes a new product, service, or venture viable - a gap the world has opened up that a new business could profitably fill. The lecture gathered several definitions that all point the same way:

  • A situation where there is potential to create something new by exploiting changes in technology, the economy, politics, or society.
  • A customer need or want that a new business could meet.
  • A way of earning income that nobody is currently exploiting.

Notice what these have in common: an opportunity is about the circumstances, not yet about your specific solution. That is the distinction worth burning in - an opportunity is not the same as an idea.

Opportunity the opening
  • A favourable set of circumstances “out there” in the world
  • Exists whether or not anyone has noticed it
  • Example: an ageing population needs easier medication management
  • Answers “why now, why viable?”
Idea your answer to it
  • A specific concept for a product or service
  • One of many possible ways to seize the same opportunity
  • Example: a pill-dispensing app that reminds and reorders
  • Answers “what exactly do we build?”
One opportunity can host many ideas. A weak idea can waste a strong opportunity - and a clever idea sitting on no real opportunity goes nowhere. Chapter 4 is about generating and filtering the ideas; this chapter is about spotting and choosing the opportunity first.

Why do some people see an opportunity that others walk straight past? The researcher Robert Baron describes recognition as pattern recognition - spotting the links between apparently unrelated trends, events, and pieces of knowledge, and realising together they add up to something. Steve Jobs’ famous line about “connecting the dots” is exactly this; the catch is that you can often only join them looking backwards.

Baron singles out three things that make someone more likely to connect the dots:

FactorWhat it meansHow you build it
Alertness / active searchNot waiting for inspiration - deliberately looking for changeKeep antennae up; go looking on purpose
Access to informationHaving the raw material to connectPrior knowledge, job experience, a broad social network
Ability to use itStoring and combining knowledge wellPractical intelligence, good mental “filing”

Alertness is the necessary condition (no search, no discovery); access and ability are what make the search pay off. As one quote in the deck put it: successful entrepreneurs do not wait for the muse to kiss them - they go to work.

A practical habit that builds all three at once is keeping a personal log: jot down the problems that annoy you, the products that disappoint you, the small inefficiencies you and the people around you keep working around, and the things you needed but could not afford. Each entry is a candidate opportunity - an incongruity between what is and what ought to be - captured while it is still fresh, before you rationalise it away.

2 · Sources of opportunities: the changes that open them

Section titled “2 · Sources of opportunities: the changes that open them”

If opportunities live inside change, then the practical move is to go hunting through the kinds of change that reliably create them. This is essentially Peter Drucker’s classic “sources of innovation” thinking, and the module lays out a checklist you can scan systematically.

SourceThe change that opens the doorWorked example
The unexpectedAn out-of-the-blue event, an unforeseen success, or a surprising failureYouTube began as a dating-flavoured video site; users only wanted the video sharing, so it pivoted. Instagram was a check-in app whose one popular feature was photos.
New knowledge & technologyNew tech, new scientific insight, or a new combination of existing thingsThe “standard” source - GPU compute, gene sequencing, large language models
Industry & market shiftsRapid industry growth, converging technologies, new value chains, globalisationStreaming reshaping media; fintech unbundling banks
Regulatory / political changeNew laws that mandate, permit, or subsidise somethingGermany’s Digitale-Versorgungs-Gesetz forces health insurers to reimburse certified medical apps - instantly a market for MySugr and similar
Demographic shiftsAge structure, urbanisation, education, the changing role of women”Silver market” product designs; services for second or third weddings
Changing perceptions & valuesNew views on sustainability, ownership, health, social normsThe shift from owning to using fuelled the whole sharing economy
Incongruities & market gapsA mismatch between what is offered and what people actually need, or between conflicting needsFurniture that is cheap or customisable but rarely both; CO2-compensation offers that reconcile “I want to protect nature” with “I must drive to work”
The entrepreneur themselvesYour own know-how, skills, networks, and motivationEffectuation’s “bird in the hand” - start from who you are and what you have

3 · Leveraging your technologies and capabilities

Section titled “3 · Leveraging your technologies and capabilities”

Here is the part that flips opportunity recognition from “wait and spot” to “take what you have and point it somewhere”. A single technology or competence is rarely a one-market thing. The same core ability can be aimed at many applications and markets - so a big chunk of recognition is really a search over the question “what else could this be used for?”

One core technologyor competence you already have
→
A set of candidate applicationsmany possible use cases
→
Attractive market domainswhere you choose to compete
Leveraging reads left to right: start from the capability, fan out to every plausible use, then narrow to the markets worth entering. The GPU is the textbook case - the same chip powers gaming, gene sequencing, medical imaging, supercomputing, autonomous vehicles, last-mile delivery, and smart cities.

Two more examples from the deck show how wide the fan-out can be from one competence:

Text-to-speech engine
Reading appPublishing / articlesTargeted audio adsMedia & translationAccessibility / inclusionMuseum audio guides
One text-to-speech competence, six quite different markets - each with its own customers, willingness to pay, and competitors. The same exercise on AI language models throws off tutoring, mental-health support, coding assistants, customer service, and translation.

When you evaluate a candidate application for an existing technology, it helps to see it on two axes: are you serving new beneficiaries (new applications or markets), and are you offering a new meaning (a new type of core benefit or purpose)? Roughly the same technological competence can travel a short hop or a long one.

Same core benefitNew core benefit / meaning
Same customersIncremental - more of the sameReframe the value for people you already serve
New customers / marketsClassic leverage - same tech, new marketBoldest - new purpose and new market at once

The highlighted cell is the everyday leverage play: keep the technology you have mastered, and take it to beneficiaries who have never used it. It carries less technical risk (you already own the competence) but real market risk (the new customers may not care as much as you hope).

4 · A method for finding new applications

Section titled “4 · A method for finding new applications”

The deck ran a concrete drill using RallyPoint, an MIT project that built a sensor-equipped glove - originally so soldiers could send hand-gesture commands without taking a hand off their weapon. The method it demonstrates is a repeatable, three-step way to leverage any technology into new markets.

  1. List the unique features. Strip the technology down to what it genuinely does better than anything else. For the glove: hands-free and voice-free control, single-handed use while keeping your hand on the device, works in dirt and water, rugged against shocks, and independent of noise level.

  2. Search widely for applications - and avoid “local search”. The trap is only imagining uses close to where the tech was born. Deliberately push outward: scan patents, move through expert networks in unrelated fields, and broadcast your technological competence so outsiders can suggest uses you would never think of. Breadth beats depth at this stage.

  3. Evaluate how relevant your key capabilities are. Cut the long list to a short list by asking, for each candidate: are the unique features very relevant here, and can they make the difference - are they must-haves, not nice-to-haves? Rate each use case as very / partly / not relevant and keep only the ones where your edge really matters.

Running the glove through this produced a set of markets with nothing military about them - because in each one, the “voice-free, single-handed, rugged” features are exactly what the situation demands:

Stroke rehabilitation trainingGaming controllersFormula 1 cockpit inputTechnical diving / underwater filming
Same glove, four unrelated markets - each chosen because the core features are decisive there (a diver cannot speak or use two hands; an F1 driver needs rugged single-handed input at speed).

5 · The Market Opportunity Navigator: map, compare, choose

Section titled “5 · The Market Opportunity Navigator: map, compare, choose”

Steps 1 to 4 give you a pile of candidate opportunities. Now you have to choose - and the danger is committing to the first shiny one. A “market opportunity navigator” style approach turns the choice into three deliberate moves: generate broadly, evaluate side by side, then commit with a backup plan.

  1. Generate the opportunity set. From your core abilities - your resources and your technologies - fan out to every plausible market opportunity (this is exactly the leverage search from section 4). The goal here is breadth: a wide list, not a good one.

  2. Evaluate attractiveness against challenge. Score each candidate on how attractive it is (market potential, fit with your capabilities, speed to first revenue) and how hard it is (competition, risk, resources needed). Plot or tabulate them so the trade-offs are visible together.

  3. Choose a primary - and keep options open. Commit resources to one primary opportunity, but hold a small backup set and note promising growth options for later. This is the agility idea: focus now, without slamming the door on the alternatives you might need if the primary stalls.

The point of a comparison table is that “attractive but brutal to win” and “modest but easy and fast” become obvious, instead of arguing about one option at a time. Here is a worked scoring of three glove-derived opportunities (higher is better for potential and fit; lower is better for competition and risk):

Candidate opportunityMarket potentialCapability fitCompetitionTime to revenueVerdict
Stroke rehabilitationHighHighLowMediumPrimary - big need, few rivals, strong fit
Gaming controllersVery highMediumVery highSlowBackup - huge but crowded, slow payback
Technical diving gearMediumVery highLowFastBackup - quick and winnable, but small

The scoring is judgement, not arithmetic - but forcing every candidate onto the same columns is what stops you from over-weighting the one that happens to excite you. The table says: lead with rehabilitation, keep diving as a fast fallback, watch gaming as a long-term growth bet.

6 · The one attitude that ties it together

Section titled “6 · The one attitude that ties it together”

Everything above is really a defence against a single failure mode: falling in love with the first application you think of. The founder who anchors on their initial idea stops searching, never compares, and finds out too late that a neighbouring market was easier and larger. The disciplined recogniser does the opposite - fans out deliberately, compares on shared criteria, commits with eyes open, and keeps a backup.

Explorego wide
Many candidate opportunities
Compareon shared criteria
Attractiveness vs challenge
Commitwith a fallback
Primary + backup set
Recognition done well: explore, compare, then commit - never skip straight to commit on the first idea.

Next: Generating & Evaluating Ideas → - getting to good ideas, then filtering out the losers.