India is home to more than 150,000 recognized startups and produces nearly 1.5 million engineering graduates annually. Yet, despite unprecedented access to capital and talent, nearly 90% of Indian startups fail within their first five years.

Funding constraints, product-market fit, and execution challenges are often cited as primary reasons. However, there is another structural issue that receives far less attention:

The overreliance on referral-based hiring.

While referrals are often celebrated as an efficient hiring mechanism, excessive dependence on them, particularly for entry-level and managerial positions is quietly creating organizational inefficiencies, cultural stagnation, and a long-term decline in talent quality.

Referrals Are Not the Problem. Misuse of Referrals Is.

At the outset, it is important to distinguish between two very different hiring contexts.

For leadership positions like CXOs, Vice Presidents, or domain specialists, referrals make strategic sense.

A startup hiring a CFO or CTO is not merely hiring skills, it is hiring judgment, credibility, networks, and proven execution capability. The cost of a bad C-suite hire can run into millions of dollars. Consequently, founders often rely on trusted recommendations and past working relationships.

This is rational.

However, many startups mistakenly extend the same logic to fresh graduates and middle-management roles. That is where the problem begins.

The Economics of Referral Hiring

The short-term benefits are obvious:

• Hiring costs reduce by 30–50%.
• Positions are filled faster.
• Employee referral programs improve offer acceptance rates.

However, these efficiencies often mask substantial long-term costs.

A startup that hires primarily through referrals is effectively restricting itself to a tiny subsection of the available talent market.

India produces over 1.5 million engineers every year. Yet many startups repeatedly hire from the same colleges, friend circles, ex-colleague networks, and founder communities.

In economic terms, this creates a closed talent ecosystem.

The probability of discovering exceptional outlier talent declines significantly. In venture capital, investors diversify portfolios because winners are unpredictable. Ironically, startups often do the exact opposite with talent.

The Mediocrity Compounding Effect

One mediocre hire rarely destroys an organization. Several layers of mediocre hires do. Organizational research repeatedly demonstrates that people tend to hire individuals who resemble themselves in thinking, background, and capabilities. This creates what can be termed as the Mediocrity Compounding Effect:

Average managers hire average people, who later hire more average people.

Over time, organizations experience:

• Reduced intellectual diversity
• Slower decision-making
• Lower innovation output
• Increasing bureaucracy
• Political rather than performance-driven cultures

The cost is rarely visible in quarterly reports.

Instead, it appears as declining execution speed, missed opportunities, and inability to scale. Many heavily funded startups have not failed because of capital shortages. They failed because they built organizations incapable of executing at scale.

The Hidden Cost of Favoritism

Every hiring decision sends a cultural signal. When employees perceive that opportunities depend more on networks than merit, three things happen:

1. High Performers Leave

Top talent generally prefers environments where performance is rewarded. Perceived unfairness significantly increases attrition among high performers. The cost of replacing an employee can range from 50% to 200% of annual compensation when productivity losses, onboarding, and opportunity costs are included.

2. Organizational Trust Declines

Employees become less invested in outcomes and more invested in relationships. Political capital starts outperforming intellectual capital.

3. Innovation Suffers

Research from McKinsey has consistently shown that organizations with greater diversity in experiences and perspectives outperform peers on innovation and profitability metrics. Homogeneous teams are efficient at maintaining the status quo. They are rarely exceptional at disrupting industries.

Why India’s Most Successful Companies Moved Toward Meritocracy

The world’s highest-performing companies have one common characteristic:

Talent density.

Netflix famously optimized for talent density rather than headcount.

Google institutionalized rigorous hiring assessments.

Atlassian invested heavily in objective evaluation frameworks.

Even among Indian technology leaders, hiring systems have increasingly moved toward structured assessments, internships, coding rounds, case studies, and measurable performance indicators.

The reason is simple:

Exceptional organizations understand that talent is not evenly distributed across networks. It is distributed across populations. A founder’s immediate circle cannot possibly contain all the future innovators, operators, and leaders required to build a generational company.

The Startup Paradox

Founders often obsess over market expansion while restricting talent acquisition. They aim to serve millions of customers but hire from circles comprising only hundreds of people. This contradiction becomes increasingly expensive as organizations scale. A startup may initially survive on trust-based hiring. It cannot become a large institution on trust alone. Institutions are built on systems and meritocracy is one of the most important systems.

The Indian Context: A Cultural Challenge

India has historically been a relationship-driven economy. Trust networks matter. Recommendations matter. Social capital matters.

However, in high-growth startups competing globally, excessive reliance on relationship capital can become a strategic disadvantage.

The future competitors of Indian startups are not merely domestic companies. They are global organizations accessing the best talent regardless of geography, college pedigree, or personal connections.

The companies that win this race will be those capable of identifying exceptional talent from anywhere. Not merely from someone they know.

A Better Hiring Framework

Referral hiring should remain one channel and not the dominant strategy.

A more effective model would involve:

1. Referrals for senior leadership and niche expertise.
2. Structured assessments for fresh graduates and managerial positions.
3. Blind evaluation wherever possible.
4. Data-driven performance metrics in hiring decisions.
5. Institutional mechanisms that reward merit over proximity.

Because the objective of hiring is not comfort. It is capability.

My Two Takes:

1. Referrals Should Be a Validation Tool, Not a Selection Tool

For leadership positions, referrals can significantly reduce execution risk because past performance, trust, and industry credibility matter. However, for entry-level and managerial roles, referrals should only help bring candidates into the funnel and not guarantee outcomes. The moment referrals become a substitute for rigorous evaluation, organizations begin optimizing for familiarity instead of capability.

2. Meritocracy Compounds Faster Than Networks

Networks may help startups move faster in the early stages, but long-term competitive advantage comes from attracting exceptional talent irrespective of backgrounds, colleges, or personal connections.

The most successful companies eventually institutionalize hiring systems because scaling an organization requires talent density, not relationship density. A founder’s network can build a company to a few hundred employees. A meritocratic system can build a generational institution.

Macroeconomic Overview

India’s economy continues to demonstrate resilience. The government has maintained a careful balance between growth and stability.

• GDP growth trajectory remains close to 7%
• Fiscal deficit reduced to 4.3% of GDP
• Debt-to-GDP ratio placed at 55.6%, with a clear consolidation path
• Public capital expenditure increased to ₹12.2 lakh crore

This reinforces India’s credibility with investors and rating agencies while preserving room for development spending.

Manufacturing, MSMEs & Markets: A Gap Between Expectations and Reality

Policy Intent vs Investor Expectations

The Budget continued to support strategic sectors like semiconductors, biopharma and electronics components, alongside expanding infrastructure and digital ecosystems. But financial markets reacted negatively soon after the Budget speech ended, with benchmark indices sliding sharply.

On Budget day:

• Sensex lost over 1 %
• PSU bank stocks plunged significantly, as net borrowing and borrowing plans weighed on sentiment.
• Small and mid-cap segments were among the worst hit.

This reaction partly stemmed from the government’s decision to increase the Securities Transaction Tax (STT) on derivatives, which raised trading costs and was viewed as a drag on market liquidity.

Lack of Direct Incentives for MSMEs and Manufacturing

Industry bodies and market analysts had anticipated targeted fiscal reliefs such as GST cuts, broader production-linked incentives (PLI), tax breaks, or direct capital support for manufacturing units and MSMEs. However, the Budget focused more on credit facilitation, fiscal discipline, and capex-led growth rather than sweeping tax or subsidy initiatives

• MSME leaders had sought integrated industrial parks, faster subsidies, input tax relief and technology support, particularly for labour intensive segments many of which remain unaddressed.
• Manufacturing expectations were skewed toward simpler compliance, GST rationalization, and direct tax incentives none of which featured prominently in the final Budget.

As a result, market participants and traders voiced disappointment, interpreting the absence of bold direct support measures as a missed opportunity to catalyze immediate growth. This contributed to the Sensex and Nifty downturn after the announcement.

Data Centres: A Global Ambition, Not a Short-Term Market Trigger

A major headline announcement in the Budget was the tax holiday till 2047 for foreign companies providing global cloud services using Indian data centres. This move signals India’s ambition to become a global data-processing and cloud hub, competing with regions like Singapore, Ireland, and the Middle East.

From a policy perspective, this is significant:

• It lowers the effective cost of hosting global workloads in India
• It encourages hyperscale's to expand domestic data centre capacity
• It strengthens India’s digital infrastructure sovereignty

In addition, the Budget provides:

• A 15% safe harbour margin for related-party data centre services
• Simplified tax certainty for global cloud providers

From a structural standpoint, the Budget’s AI and data center strategy could prove transformative:

• India could emerge as a preferred global AI compute and data-hosting destination
• Domestic talent pipelines may benefit from AI-driven skilling initiatives
• Public-sector AI applications could improve productivity and service delivery

Sectoral Highlights

Strategic and Long-Term Support

Despite short-term market concerns, several measures are aimed at structural transformation:

• Biopharma Shakti — ₹10,000 crore initiative to scale India’s biopharmaceutical manufacturing base.
• Expansion of electronics and semiconductor support, including rare-earth mineral linkages.

Infrastructure & Urban Growth

Public capital investments in freight corridors, city economic regions and high-speed connectivity reflect long-term growth priorities.

Financial Sector and Capital Markets

Reforms in banking governance and expanded limits for foreign portfolio investments aim to deepen financial markets, although this was insufficient to offset derivative market concerns from the STT hike.

Services, Education & Inclusion

Budget allocations for allied health professionals, education infrastructure, and skills align with India’s demographic dividend strategy.

Political & Public Reaction

Beyond markets, political commentary highlighted different critiques:

• Opposition leaders labelled the Budget “woefully short of the hype” due to limited relief for middle and lower-middle classes.
• Some sections of the public had hoped for more direct job support and relief from rising living costs expectations which were only partly addressed.

What This Means Going Forward

Short-Term Sentiment:
Financial markets responded negatively because the Budget lacked immediate fiscal stimuli for high-growth sectors and instead focused on structural reforms and fiscal prudence. The STT increase, in particular, triggered sell-offs in derivatives and banking stocks.

Long-Term Outlook:
Strategic incentives targeting semiconductors, biopharma, infrastructure and technology investment suggest that the Budget’s core thrust is future oriented policy rather than populist, short-term boosts. Over time, this may strengthen manufacturing eco-systems and industry competitiveness if complemented by execution and subsequent policy support.

Conclusion

Union Budget 2026–27 is best understood as a structural, future-oriented Budget rather than a market-pleasing one. While it strengthens India’s long-term growth engines — manufacturing capability, infrastructure, services, AI, and digital infrastructure the lack of direct incentives and immediate relief measures led to market disappointment and a decline in benchmark indices.

Whether this Budget is ultimately judged as prudent or underwhelming will depend on execution, follow-up policy actions, and global economic conditions. For now, it stands as a reminder that sound economic strategy and market sentiment do not always move in tandem.

This blog is not about shortcuts or tricks. It’s about how I thought, what unintentionally helped me, and how I approached each DM set in the exam.

I didn’t prepare “Specifically” for DM and that helped

To be honest, most of my preparation time went into Quant. DM preparation was limited largely to solving past-year XAT Decision Making sets. That, however, turned out to be enough.

Solving previous years’ DM papers helped me understand one crucial thing:

In XAT DM, the difference between a correct and an incorrect option is extremely subtle.
Often, there is no perfect answer — only a more defensible one.

Practicing past papers helped me recognize how XAT frames decisions and what kind of reasoning it consistently rewards.

How CAT DILR Quietly Improved My XAT DM Thinking

One unconventional factor that helped me in DM was my practice of Data Interpretation and Logical Reasoning sets for CAT and XAT.

This might sound counterintuitive, because DM is seen as a qualitative section. But regular DI practice trains your brain to understand how numbers move:

• Trends
• Rise and decline
• Stagnation
• Risk vs stability

When you solve enough DI sets, you stop seeing numbers as isolated values and start seeing stories behind them.

This becomes very relevant in XAT DM because many caselets involve numerical context:

• Profits declining after a period of growth
• Performance remaining stagnant despite stable inputs
• Growth increasing but margins shrinking

In such cases, DM is not about calculations it’s about interpreting what the data implies and choosing an appropriate course of action. My DI practice helped me quickly judge whether a situation demanded corrective action, patience, or long-term restructuring.

My Decision-Making Framework for XAT

Over time, I developed a mental checklist that I applied to every DM set.

1. Identify All Stakeholders

The first step was always identifying:

• Who is taking the decision?
• Who is affected directly?
• Who is affected indirectly?

Options that ignore any major stakeholder group are rarely correct in XAT.

2. Communication Is as Important as the Decision

I preferred decisions where:

• The intent is clearly communicated
• Stakeholders are taken into confidence
• There are no sudden or opaque actions

In real organizations, even good decisions fail due to poor communication and XAT reflects this reality well.

3. Collaboration Without Losing Control

Collaboration does not mean everyone must agree. It means:

• Listening to concerns
• Explaining rationale
• Avoiding unnecessary unilateral decisions

At the same time, excessive consensus-building that delays action is also discouraged.

4. Respecting Organizational Hierarchy

A common trap is assuming that challenging authority is always correct.

In DM:

• Legitimate authority matters
• Decisions should follow proper channels
• Ethical disagreement does not justify bypassing hierarchy

XAT rewards institutional discipline, not rebellion.

5. Accountability Must Be Clear

I avoided options where:

• Responsibility was vague
• Accountability was missing
• Outcomes could be conveniently blamed on others

Every good decision clearly defines who owns what.

6. Transparency Over Short-Term Convenience

Decisions involving secrecy, manipulation, or half-truths usually backfire.

I consistently preferred options that were:

• Transparent
• Open to scrutiny
• Ethically defensible in hindsight

7. Sustainability: Short Term vs Long Term

For every decision, I asked:

• Does this solve the immediate issue?
• Does it create a larger problem later?

XAT rarely rewards decisions that optimize short-term outcomes at the cost of long-term trust or stability.

8. Aligning With the Organization's Core Values

Understanding the nature of the organization mattered a lot:

• Profit-driven company
• NGO
• Public institution

A decision suitable for one can be completely wrong for another. Alignment with organizational values is critical.

9. Avoiding Discrimination and Bias

Any option that showed:

• Unfair discrimination
• Personal bias
• Unequal treatment without justification was an immediate red flag.

10. Finding the Middle Ground

The best DM answers are rarely extreme.

I actively looked for decisions that:

• Minimize conflict
• Balance competing interests
• Are acceptable (even if not ideal) to most stakeholders

Middle-ground solutions are often the most realistic.

11. Feasibility and Legitimate Self-Interest

Decision-makers cannot completely ignore their own role or responsibility. XAT does not expect self-sacrifice at every step — it expects reasonable self-interest without exploitation.

12. Utilitarian Thinking: Prioritizing the Primary Stakeholder

When conflicts arose, I prioritized the stakeholder with:

• Maximum impact
• Highest responsibility

Maximizing overall benefit — ethically — usually led to the correct option.

13. Time Sensitivity

Some situations require:

• Immediate action
• Temporary solutions

Others require patience and long-term planning. The decision must match the urgency of the problem.

Final Thoughts

I didn’t crack XAT DM by memorizing frameworks or preparing intensively.

I cracked it by:

• Solving past papers
• Building intuition
• Thinking like a responsible professional, not an exam aspirant

XAT Decision Making is not about choosing the best-sounding option.
It’s about choosing the most defensible decision.

An online start-up which awkwardly began by selling glasses to millennials, has now evolved into a company which is expected to launch one of the highly anticipated IPOs in 2025 at a valuation of approx. 70,000 crore Rs (approx 8Billion USD). Just to put things in perspective, the IPO is 7,278 crore Rs ( 2,150 crore Rs fresh issue + 5,128 crore Rs Offer for Sale (OFS).

Investors are excited to bid on the shiny new listing, but the question is:

Is the IPO a path to growth or is it an overpriced spectacle?

The Bright Side: Why Everyone’s Talking About Lenskart

Lenskart isn’t just another D2C startup — it’s also one of India’s very few retail disruptors that actually changed how people buy glasses.

1. A Market Leader with Room to Grow

India’s eyewear market is huge yet still fragmented, with approximately 77% of it remaining unorganized and controlled by local opticians and mom-and-pop shops. Lenskart, which currently holds only about a 5–6% market share, still has a lot of room to grow.

According to estimates, Lenskart’s target market will expand to ₹1.48 lakh crores by 2030, considering the increase in screen time and brand eyewear. There are a lot of double-digit growth potential and eyeballs waiting to be framed, and Lenskart is the biggest organized player in the market.

2. The Clicks-to-Bricks Revolution

Lenskart’s biggest strength lies in its hybrid model — where tech meets touch.

Lenskart’s app has crossed 100 million downloads and its offline footprint has expanded to more than 2,800 locations in India, the Middle East and Southeast Asia.

Lenskart’s new stores, as opposed to traditional retailers, manage to break even in less than 12 months. Factors like AI-powered virtual try-on, digital eye tests, and seamless order fulfillment across channels are just a few reasons why Lenskart is classified as one of the ‘most efficient omnichannel businesses in India.

3. It’s Profitable and Fully Integrated

Lenskart manages nearly all of its supply chain. About 70% of its eyewear production is completed in-house, in its large, semi-automated plant in Bhiwadi, which has the capacity to produce 14 million pairs of eyewear annually.

This command enables the company to capitalize on cost savings. It also ensures Lenskart has sustainable, best-in-class margins across the industry, with gross margins sitting around 68%. That in itself, is impressive for a retailer.

Lenskart’s Profitability is Here

After a lengthy, aggressive expansion strategy, Lenskart posted a net profit for the first time in its history of ₹297 crores for FY25, on revenues of ₹6,652 crores (up from ₹3,788 crores in FY23). It’s a profit-generating start-up, and it is a pleasure to investors.

It still marks a clear shift toward sustainable profit growth even if this profit is driven through a one-off profit.

4. Building Brand Loyalty and Going Global

Lenskart became a global player with the purchase of Japan’s Owndays and now operates in 14 countries. Almost 40% of Lenskart’s revenue is international, which shifts Lenskart’s risk away from India.

Lenskart is also not purely selling glasses. Their Gold Membership with over 13 million members, creating a transitively “sticky” ecosystem around the product in which loyalty is built.

Vigilant Approach: The Not-So-Clear Picture.

Considering the hasty narrative as positive, many analysts are calling out the possible unsustained hidden risks on the forecasts.

1. Evaluating Risky Aspects

At the offers most expensive price band, Lenskart’s Price-to-Earnings (P/E) ratio sits at 230–260x on predicted valuations on profit for FY25.

To offer comparative valuation:

Company P/E Ratio (approx.)

Titan Company ~90x

Trent Ltd (Westside) ~110x

Lenskart (IPO) 230–260x

In summary, Lenskart would have to maintain ruthless growth for this type of valuation to hold.

2. Crossing Profits

The celebrated profit number of ₹297 crores must be celebrated for the average profit of ₹130 crores after accounting for the non-recurring gain of ₹167 crore accounting gain after the Owndays acquisition.

The profit then offers the half, valuation of 500x earnings. Not Eye Opening.

Profits estimate suggests that Lenskart’s profitability, is highly dependent on scale.

3. Risky Supply Chains

Around 42–50% of Lenskart’s components are sourced from China. Any geopolitical tension or import disruption could significantly impact its supply and margins.

4. Intense and Local Competition

Indeed, Lenskart leads organized retail but the battle is still on the corner. The major part of the Indian population still gets their glasses from local opticians who have the flexibility to adjust prices, provide customized services and even give free fixes. Lenskart’s standardization system may find it hard to survive in smaller cities unless it keeps on innovating and cutting costs.

Moreover, there are competitors like Titan Eye+, EssilorLuxottica and new D2C brands that are all after a piece of the pie.

The moment of truth: Vision or Mirage?

The IPO of Lenskart is the encapsulation of all the exhilarating and frightening facets of India’s startup boom.

It is profitable, operationally capable and envisions itself as a global player. However, it is a giant, highly reliant on China, overpriced, and considers accounting aesthetics a sustainable veneer.

Investor sentiment is mixed.

On one side, there are the Lenskart “believers” forecasting long-term consumption growth and calling it the “future Titan.” On the other, the doubters who assert the IPO is “priced for perfection” and are claiming the situation isn’t as rosy when it is public.

The more than 28-times subscription of the Lenskart IPO illustrates the narrative driven demand from investors and, in more simple terms, retail investors’ FOMO.

If you’re a long-term believer in India’s consumer revolution and can stomach short-term volatility, Lenskart could be a rewarding bet.
But if you prefer clear fundamentals over bold narratives, it might be better to watch this one through the lens of caution.