Innovation and design thinking

In short

Innovation is the commercial application of a new idea - a product, service, process, business model or organisational practice that creates value for a customer and the firm; design thinking is a human-centred, iterative problem-solving method (empathise, define, ideate, prototype, test) used to generate and validate such ideas. Together they answer the two questions a strategy course cares about: where does new value come from, and how does a firm reliably produce it instead of waiting for luck. The topic appears in BBA/BMS papers on Strategic Management, Innovation and Entrepreneurship and Design Thinking (a compulsory AICTE/UGC course in many universities), and in case rounds and HR interviews at consulting firms, FMCG and product companies. Indian employers - Tata, Titan, Asian Paints, Infosys, TCS, Flipkart, Zomato, Zoho, Dr Reddy's, Mahindra - run formal innovation programmes and expect candidates to speak the vocabulary. It also underpins government policy: Atal Innovation Mission, NITI Aayog's India Innovation Index and the Startup India framework.

Explained

What innovation is, and its types

• Invention vs innovation: invention is the creation of something new; innovation is invention plus commercialisation. A patented molecule earns nothing until a product reaches patients.
• Schumpeter's view: innovation drives creative destruction - new combinations displace incumbents; the entrepreneur, not the manager, is the agent of change. Five sources he listed: new product, new method of production, new market, new source of supply, new organisation of industry.
• By object (what is new):
  • Product innovation - a new or improved good/service (Tata Nexon EV).
  • Process innovation - a cheaper/faster way of producing (Asian Paints' colour-mixing at dealer counters).
  • Business model innovation - a new way of creating, delivering and capturing value (Jio's data pricing; Zerodha's flat-fee broking).
  • Marketing / position innovation - new channel, segment or image (Patanjali's "swadeshi" positioning).
  • Paradigm innovation - change in the mental model of the business (Aravind Eye Care's cross-subsidised surgery).
• By degree (how new):
  • Incremental - small continuous improvements, low risk, defends the core (annual smartphone refresh; kaizen on a shop floor).
  • Radical / breakthrough - new technology base, high risk, high payoff (UPI, mRNA vaccines).
  • Architectural - existing components rearranged into a new system.
  • Disruptive (Christensen) - starts simpler, cheaper, "good enough" for an overlooked or low-end segment, then moves upmarket; incumbents rationally ignore it because the early market looks unattractive. *Not* a synonym for "big" - a sustaining innovation can be huge but is not disruptive.
  • Frugal innovation / jugaad: doing more with less under resource constraints - Tata Swach water purifier, ChotuKool, Mitticool, GE's MAC 400 ECG, Aravind's intraocular lenses. India is the canonical case; the risk is treating jugaad (ad hoc fix) as if it were engineered frugal design.
  • Reverse innovation: developed for emerging markets, then taken to rich ones (GE ultrasound developed in India/China).
• Closed vs open innovation (Chesbrough): closed = all R&D in-house; open = ideas and IP flow in and out through licensing, partnerships, crowdsourcing, corporate VC, hackathons, academia tie-ups (Tata Elxsi and Infosys partner programmes; Open Network for Digital Commerce as an open-standards play).
• Sustaining vs exploratory activity (March's ambidexterity): exploitation of today's business versus exploration of tomorrow's; firms need both, usually in separate structures (a core business plus an innovation lab or venture arm).

Design thinking: logic and the five-stage process

• Definition: a non-linear, human-centred approach that uses designers' methods to match people's needs with what is technologically feasible and commercially viable. The three overlapping lenses - desirability (people), feasibility (technology), viability (business) - must all be satisfied.
• Abductive reasoning: deduction proves, induction generalises, abduction proposes the most plausible explanation or "what might be" - design thinking's core logic, which is why it suits ill-defined "wicked problems" with no single right answer.
• Stanford d.school / IDEO five stages:
  1. Empathise - understand the user in their context: interviews, non-participant observation, shadowing, immersion, "five whys", diary studies. Output: raw field notes, quotes, photos.
  2. Define - synthesise into one actionable problem statement (point of view): *"A Tier-2 kirana owner needs a way to track credit sales because paper ledgers cause disputes and lost recovery."* Tools: empathy map, persona, customer journey map, affinity clustering, "How might we…?" questions.
  3. Ideate - diverge: brainstorming (defer judgement, go for quantity, build on others' ideas, one conversation at a time, encourage wild ideas), brainwriting, SCAMPER, worst possible idea, analogies, TRIZ, mind mapping; then converge by dot-voting / NUF (New, Useful, Feasible) scoring.
  4. Prototype - build the cheapest thing that can answer the riskiest question: paper sketch, storyboard, wireframe, clickable mock, role-play, 3-D print, Wizard-of-Oz. Fidelity rises only as uncertainty falls.
  5. Test - put it before real users, observe rather than argue, record what failed, and loop back to any earlier stage. Testing is a learning step, not a verdict ceremony.
• Double Diamond (UK Design Council): Discover - Define - Develop - Deliver; two cycles of divergence and convergence, the first on the *problem*, the second on the *solution*. Explains why teams fail: they converge on a solution before diverging on the problem.
• Design sprint (Google Ventures): a time-boxed five-day version - Map, Sketch, Decide, Prototype, Test - used in corporate settings where a long project cannot be justified.
• Mindsets that make it work: beginner's mind, "show don't tell", bias to action, radical collaboration (multidisciplinary teams), reframing, comfort with ambiguity, fail early and cheaply.

Linking innovation to strategy: models and tools

• Business Model Canvas (Osterwalder): nine blocks - customer segments, value propositions, channels, customer relationships, revenue streams, key resources, key activities, key partners, cost structure. Used to make a business model explicit and to test variants quickly.
• Value Proposition Canvas: customer jobs, pains, gains on one side; products/services, pain relievers, gain creators on the other; fit is the goal.
• Jobs to be Done (Christensen): customers buy progress, not products - "they don't want a drill, they want a hole". Defines competition functionally (a milkshake competes with a banana on the commute).
• Lean Startup (Ries): Build-Measure-Learn loop; MVP = smallest product that generates validated learning; validated learning through cohort metrics, not vanity metrics; pivot or persevere decision at each cycle. Design thinking finds the problem, lean startup tests the business, agile delivers the build.
• Blue Ocean Strategy (Kim and Mauborgne): compete in uncontested space through value innovation - simultaneously raise buyer value and cut cost using the ERRC grid (Eliminate, Reduce, Raise, Create) and a strategy canvas. Contrast with Porter's view that cost leadership and differentiation are usually a trade-off.
• Stage-Gate (Cooper): formal NPD funnel - idea screening, concept, business case, development, testing, launch - with go/kill gates and criteria at each; disciplined but can suffocate radical ideas, so firms keep a separate "lite" track.
• Innovation funnel and portfolio: many ideas in, few out; manage as a portfolio across the 70-20-10 rule of thumb (core / adjacent / transformational) or the three horizons model.
• Diffusion of innovation (Rogers): adopter categories - innovators 2.5%, early adopters 13.5%, early majority 34%, late majority 34%, laggards 16% - and five adoption attributes: relative advantage, compatibility, complexity, trialability, observability. Moore's chasm sits between early adopters and early majority.
• S-curve and technology life cycle: performance improves slowly, then steeply, then plateaus; the incumbent's danger is investing in the flattening curve while a new S-curve starts below it.
• Dominant design and Abernathy-Utterback: product innovation dominates the fluid phase; after a dominant design emerges, competition shifts to process innovation and cost.
• Measurement: R&D intensity (R&D spend / sales), new product vitality index (% revenue from products launched in last 3-5 years), ideas submitted/implemented per employee, time to market, patents filed and granted, innovation ROI.

Intellectual property and the Indian institutional setting

• Patents Act 1970 (amended 2005): product patents in all fields; term 20 years from filing; criteria - novelty, inventive step, industrial application; Section 3(d) bars patents on new forms of known substances without enhanced efficacy (the basis of the Novartis Glivec ruling, 2013) - a deliberately pro-generic, pro-access policy choice.
• Other rights: Copyright Act 1957 (software, content), Trade Marks Act 1999 (10 years, renewable), Designs Act 2000 (shape/configuration/ornament, 10 + 5 years), Geographical Indications Act 1999 (Darjeeling tea, Banarasi saree, Mysore silk), Protection of Plant Varieties and Farmers' Rights Act 2001, and trade secrets (no separate Act - protected by contract).
• Administration: Office of the Controller General of Patents, Designs and Trade Marks (CGPDTM) under DPIIT; startups recognised under Startup India get fee rebates and expedited examination. India is a WTO/TRIPS member and a Patent Cooperation Treaty signatory.
• Policy and institutions: Atal Innovation Mission (Atal Tinkering Labs in schools, Atal Incubation Centres), NITI Aayog India Innovation Index (state rankings), National IPR Policy 2016, Startup India (DPIIT recognition, tax benefits under Section 80-IAC, now section 140 of the Income-tax Act 2025 from 1 April 2026, subject to conditions), Fund of Funds for Startups through SIDBI, SISFS seed fund, BIRAC for biotech, DST-NIDHI, Technology Business Incubators at IITs/NITs, PLI schemes and the Anusandhan National Research Foundation. India's rank on WIPO's Global Innovation Index improved from 81st (2015) to 39th (2024) and 38th (2025) - the exact current rank changes yearly, so quote the year with the number.
• Who owns design thinking in an Indian firm: typically innovation/strategy cells (Tata Group Innovation Forum and InnoVista awards, Titan's design studio, Infosys and TCS design studios, Mahindra Rise Prize), plus CSR-linked social innovation under Section 135 of the Companies Act 2013.

Creativity, culture and the barriers

• Creativity vs innovation: creativity is the generation of novel ideas (individual, cognitive); innovation is their implementation (organisational, economic). Creativity is necessary, not sufficient.
• Blocks to creativity: perceptual (seeing only the obvious frame), emotional (fear of looking foolish), cultural (hierarchy, "that's not how we do it"), environmental (no time, no slack), expressive (cannot articulate the idea).
• Organisational enablers: slack time (Google's 20%, 3M's 15% tradition), psychological safety, tolerance of intelligent failure, idea management systems, cross-functional teams, innovation metrics in appraisals, intrapreneurship and skunkworks, rewards for ideas not just outcomes, senior sponsorship.
• Barriers: NIH ("not invented here") syndrome, short-term financial targets, analysis paralysis, core rigidity and the success trap, functional silos, risk-averse appraisal systems, customer-led myopia (listening only to existing best customers - exactly how disruption happens).
• Limitations and critiques of design thinking: can become theatre (sticky notes without decisions); small unrepresentative user samples; weak at problems needing deep technical or regulatory depth; may produce incremental tweaks rather than breakthroughs; hard to quantify ROI; depends on access to real users, which B2B and government contexts restrict; cultural fit issues in steep hierarchies.

Key points

• Innovation - a new idea successfully commercialised; invention + exploitation, not invention alone.
• Creative destruction - Schumpeter's idea that new combinations destroy incumbent positions, renewing the economy.
• Incremental vs radical - small safe improvements to the core versus a new technology base with high risk and payoff.
• Disruptive innovation - cheaper, simpler, initially inferior offer that serves an ignored segment and then moves upmarket; defined by trajectory, not size.
• Frugal innovation / jugaad - engineered affordability under constraint; Tata Swach, Mitticool, Aravind Eye Care, MAC 400 ECG.
• Reverse innovation - product designed for an emerging market and later sold in developed ones.
• Open innovation - deliberate inflow and outflow of ideas and IP across firm boundaries.
• Design thinking - human-centred iterative method balancing desirability, feasibility and viability; logic is abduction.
• Five stages - Empathise, Define, Ideate, Prototype, Test; non-linear with loops back to any stage.
• Double Diamond - diverge-converge twice: once on the problem, once on the solution.
• Empathy map and persona - synthesis tools that turn field observation into a usable user picture.
• How Might We - the reframing question that turns an insight into an ideation brief.
• Prototype - cheapest artefact that tests the riskiest assumption; fidelity follows certainty.
• MVP and Build-Measure-Learn - lean startup's loop for validated learning and the pivot/persevere call.
• Business Model Canvas - nine blocks describing how value is created, delivered and captured.
• Blue ocean value innovation - raise buyer value and lower cost together using the ERRC grid.
• Rogers' diffusion - innovators 2.5%, early adopters 13.5%, early majority 34%, late majority 34%, laggards 16%; Moore's chasm before the early majority.
• Patents Act 1970 - 20-year term; Section 3(d) blocks evergreening of known substances without enhanced efficacy.

Formulas and examples

Example 1 - New Product Vitality Index. A Pune consumer-durables firm has FY26 revenue of ₹1,250 crore. Products launched in FY24-FY26 contributed ₹362.5 crore.

• NPVI = 362.5 ÷ 1250 × 100 = 29%.
• Interpretation: if its benchmark peer group sits near 30-35%, the firm is marginally behind; a value under 10% signals an ageing portfolio.
• R&D spend was ₹50 crore → R&D intensity = 50 ÷ 1250 × 100 = 4.0% (high for Indian FMCG, ordinary for pharma).

Example 2 - Idea funnel and conversion. An IT services firm's internal platform received 4,800 ideas in a year. Screening passed 600 to concept stage, 120 to prototype, 36 to pilot and 12 to full rollout.

• Idea conversion rate = 12 ÷ 4800 × 100 = 0.25% (1 in 400).
• Stage-to-stage yields: 600/4800 = 12.5%; 120/600 = 20%; 36/120 = 30%; 12/36 = 33.3%.
• Funnel lesson: the steepest kill rate is at first screening, so screening *criteria* decide what the firm can ever innovate in.

Example 3 - Prototype and test economics (frugal purifier). A startup must choose between two ways to test a ₹1,200 water purifier concept with rural households.

• Cost ratio = 5,40,000 ÷ 6,000 = 90× for the engineering route.
• Correct sequence: storyboard first (the riskiest question is "will they pay and use it daily?"), then spend on engineering only if desirability is confirmed. Escalating fidelity too early is the commonest design-thinking error in practice.

Example 4 - Break-even and payback on an innovation. A Coimbatore pump maker invests ₹80,00,000 to develop an energy-efficient model. Selling price ₹9,500, variable cost ₹6,300, incremental fixed cost ₹12,00,000 per year, expected sales 4,000 units per year.

• Contribution per unit = 9,500 − 6,300 = ₹3,200.
• Annual contribution = 3,200 × 4,000 = ₹1,28,00,000; less fixed cost ₹12,00,000 → annual net cash inflow = ₹1,16,00,000.
• Payback = 80,00,000 ÷ 1,16,00,000 = 0.69 years ≈ 8.3 months.
• Break-even volume (covering annual fixed cost only) = 12,00,000 ÷ 3,200 = 375 units.
• Break-even including full recovery of development cost in year 1 = (80,00,000 + 12,00,000) ÷ 3,200 = 2,875 units.

Example 5 - Expected Commercial Value for portfolio choice. Two projects compete for one ₹2 crore budget.

• B has the higher ECV but a combined success probability of only 0.14, so its outcome is bimodal; A is near-certain. A balanced portfolio funds several A-type projects from operating budget and a few B-type from a separate exploration fund - the ambidexterity argument in numbers.

Where it is used

• FMCG and consumer durables: HUL, Dabur, Marico and Godrej run consumer-immersion programmes and rural-India design projects; roles - product manager, consumer insights, NPD manager.
• IT services and product firms: Infosys, TCS, Wipro, Zoho and Freshworks use design studios, design sprints and co-creation labs for client problem framing; roles - business analyst, UX researcher, service designer, innovation consultant.
• Banking, fintech and insurance: HDFC, ICICI, Kotak, Paytm, PhonePe and Razorpay use journey mapping to cut onboarding drop-off; UPI itself is the flagship Indian business-model innovation; roles - digital transformation analyst, product owner.
• Healthcare and pharma: Aravind Eye Care's cross-subsidy model, Narayana Health's cost engineering, Dr Reddy's and Biocon on process innovation and Section 3(d)-shaped IP strategy.
• Manufacturing and auto: Tata Motors, Mahindra, Bajaj and Titan combine kaizen-style incremental process innovation with platform-level radical projects; TRIZ and value engineering are used in cost reduction.
• Public sector and social innovation: Atal Tinkering Labs, Smart Cities projects, Swachh Bharat behavioural design, CSR-funded social enterprises, and consulting assignments framing citizen-service redesign.

Interview questions

• Q: What is the difference between invention and innovation? A: Invention creates something new; innovation turns it into value in the market. Without commercialisation an invention is only a cost.
• Q: Name the five stages of design thinking and say whether the order is fixed. A: Empathise, Define, Ideate, Prototype, Test. The order is a guide, not a sequence - testing often sends a team back to redefine the problem.
• Q: Why is design thinking called human-centred? A: It starts from observed user needs and context rather than from technology or internal assumptions, and judges every idea first on desirability.
• Q: Is every big innovation disruptive? A: No. Disruption describes a trajectory - starting cheap and simple in an overlooked segment and moving upmarket. A large improvement sold to existing premium customers is a sustaining innovation.
• Q: Give an Indian example of frugal innovation and explain what makes it frugal. A: Mitticool's electricity-free clay refrigerator or Tata Swach's rice-husk-ash filter: both deliver the core benefit at a fraction of the cost by removing non-essential features and using locally available materials.
• Q: What is an MVP, and is a cheap low-quality product an MVP? A: An MVP is the smallest build that produces validated learning about a key assumption. A shoddy product is not an MVP - it tests nothing except tolerance for poor quality.
• Q: How would you empathise with users who cannot articulate their needs? A: Observe them in context, shadow their routine, note workarounds they have invented, and ask about the last specific time they faced the problem rather than about preferences in general.
• Q: What does the Double Diamond add over the five stages? A: It makes explicit that divergence and convergence happen twice - first to find the right problem, then to find the right solution - which prevents jumping to solutions.
• Q: How do you measure whether an innovation programme is working? A: Combine input, process and output measures: R&D intensity, ideas submitted and converted, time to market, and above all the new product vitality index and innovation ROI.
• Q: Why do successful companies miss disruptive threats? A: Their resource-allocation processes and best customers both point towards higher-margin sustaining work; the disruptive market is initially too small and too low-margin to justify investment.
• Q: What does Section 3(d) of the Patents Act mean for an innovation strategy in pharma? A: A new form, salt or polymorph of a known substance is not patentable unless it shows significantly enhanced efficacy, so Indian strategy favours genuinely novel molecules, new process patents and formulation advances over incremental evergreening.
• Q: A client says "we did a design thinking workshop and nothing changed." What went wrong? A: Usually no real users were involved, no prototype left the room, and no owner, budget or decision gate was attached - design thinking without a path to implementation is a workshop, not a method.

Common mistakes

• Using "disruptive" for anything new or successful, instead of the specific low-end/new-market trajectory Christensen defined.
• Skipping or faking the empathise stage - running a workshop on internal assumptions and calling the output user insight.
• Converging too early: writing the solution into the problem statement ("users need our app to have a chatbot").
• Building a high-fidelity prototype first, so the team becomes attached to it and cannot discard it - and the cost of learning rises many times over.
• Treating design thinking, lean startup and agile as rivals; they address desirability, viability and feasibility respectively and are complementary.
• Confusing creativity with innovation in exam answers, and omitting the implementation/commercialisation half of the definition.
• Quoting Global Innovation Index ranks, patent counts or scheme outlays without the year - these change annually; and misstating the patent term (it is 20 years from filing, not from grant).

Related topics

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