Incremental Model of Policy-Making: A Step-by-Step Approach

How do governments actually make decisions? The textbook answer suggests officials gather all the facts, weigh every alternative, and pick the optimal solution. But anyone who has watched policy unfold in the real world knows it rarely works that way. Budgets get tweaked year after year. Tax rates are adjusted, rolled back, and adjusted again. Schemes launch, stumble, get revised, and launch once more. This messy, step-by-step reality is exactly what Charles Lindblom tried to explain when he proposed the Incremental Model of policy-making, a framework that continues to shape how we understand governance today.

Origins of the incremental model 🔗

The incremental model was introduced by American political scientist Charles E. Lindblom in his landmark 1959 essay, The Science of Muddling Through, published in Public Administration Review. At the time, the dominant framework was the rational-comprehensive model, which assumed that policymakers could identify every possible solution, calculate costs and benefits for each, and then pick the single best option.

Lindblom found this assumption unrealistic. He argued that real decision-makers face severe cognitive limits, political pressures, fragmented information, and tight deadlines. Instead of master plans, he proposed that policy actually gets made through small, cautious adjustments to whatever already exists. He called this approach incrementalism, or more colloquially, “muddling through”. Policymakers compare a limited set of alternatives that differ only slightly from current policy, avoiding drastic departures and learning by doing.

Core features of the incremental model 🔗

The incremental model rests on a handful of interconnected ideas. Understanding each helps explain why this approach feels so intuitive to seasoned administrators.

Successive limited comparisons 🔗

Rather than surveying every conceivable alternative, policymakers examine a narrow band of options that represent minor departures from existing policy. Lindblom himself preferred the term “successive limited comparison” over incrementalism. In this method, means and ends are decided together, not sequentially, and the test of a good policy is simply whether decision-makers can agree on it.

Mutual adjustment and negotiation 🔗

Policy is not handed down by a single rational planner. It emerges from bargaining among many actors, each with different interests. Ministries, state governments, regulators, interest groups, and civil society organisations constantly adjust their positions in response to one another. This mutual adjustment is central to the model. It makes decisions politically feasible because it accommodates multiple stakeholders instead of overruling them.

Trial and error 🔗

Policies are treated as experiments. If a change works, it can be expanded. If it fails, it can be reversed or modified before much damage is done. This learning-by-doing ethos accepts that no one can predict every consequence in advance, so starting small is wiser than gambling on a grand design.

Disjointed incrementalism 🔗

In later work, including his 1963 book A Strategy of Decision with David Braybrooke and his 1979 follow-up Still Muddling, Not Yet Through, Lindblom refined the idea into disjointed incrementalism. The “disjointed” part matters. Different agencies tackle overlapping problems without any single coordinating brain. One department runs school meal programmes, another handles job training, a third administers housing subsidies. None of these flows from a master plan, yet together they form government policy.

Incremental model versus rational model 🔗

It helps to see the two models side by side. The rational-comprehensive model assumes clear goals, full information, exhaustive analysis of alternatives, and selection of the optimal solution. Lindblom argued this is neither feasible nor desirable in most real-world settings.

The incremental model, by contrast, accepts bounded rationality. It works within the limits of time, data, and political will. Lindblom called the rational model the “root method” because it starts from first principles, and his own approach the “branch method” because it grows outward from the existing situation step by step. The branch method is pragmatic where the root method is idealistic.

Why “muddling through” is not sloppy 🔗

The phrase sounds almost dismissive, but Lindblom meant it seriously. Muddling through is a systematic strategy for navigating complexity when comprehensive analysis is impossible. It spreads risk, invites feedback, and preserves the option to change course. For policymakers staring at conflicting data and competing demands, it is often the only responsible path forward.

The incremental model in Indian policy-making 🔗

Indian governance offers rich material for studying incrementalism. Despite its scale and ambition, much of what happens in Delhi and the state capitals follows a pattern of small, successive adjustments rather than wholesale overhauls.

Economic liberalisation of 1991 🔗

The 1991 economic reforms are often described as a dramatic break from the past, but in practice they unfolded incrementally. Trade barriers were relaxed in phases, sectors were opened to foreign investment gradually, and industrial licensing was dismantled piece by piece. This gradual opening helped build consensus and eased resistance from entrenched interests that might otherwise have blocked change.

Goods and Services Tax 🔗

The rollout of the Goods and Services Tax in 2017 is a textbook case of incremental policy-making. Rates have been revised multiple times, procedures have been simplified through successive notifications, and compliance requirements have been modified in response to feedback from businesses and state governments. The GST Council meets regularly to make these adjustments, embodying mutual adjustment at the highest level.

The Public Distribution System 🔗

Few programmes illustrate incrementalism better than the Public Distribution System. Over decades, it has shifted from a universal scheme to a targeted one, then to a rights-based framework under the National Food Security Act, 2013. Coverage, beneficiary categories, and delivery mechanisms have all been tweaked repeatedly based on state-level experience. No single blueprint produced today’s PDS; it is the accumulated product of countless small decisions.

Digital India and e-governance 🔗

Rather than digitising every government service at once, the Digital India programme started with specific applications like passport services, income tax filing, and Aadhaar-linked benefits, then expanded as each effort matured. This phased approach allowed administrators to absorb lessons before scaling up.

Environmental and energy policy 🔗

India’s environmental regulations have typically tightened in stages, with phased compliance timelines for vehicles, industries, and fuels. Similarly, the renewable energy sector grew through pilot projects in solar and wind before the government announced larger targets through the Ministry of New and Renewable Energy. Each expansion built on evidence from earlier efforts.

Why incrementalism appeals to policymakers 🔗

The practical advantages of this model explain why it remains so widespread.

First, it reduces political risk. Small changes are less threatening to existing interests, so they attract less organised resistance. Second, it is realistic about resources. Developing countries with limited administrative capacity simply cannot absorb sweeping reforms all at once. Third, it builds in flexibility, allowing course corrections as circumstances evolve. Fourth, it tends to produce more durable decisions because they emerge from negotiation rather than imposition. Finally, it protects against catastrophic mistakes by keeping changes reversible.

Criticisms of the incremental model 🔗

For all its practical wisdom, incrementalism attracts sustained criticism. The most influential challenge came from Yehezkel Dror, whose 1968 book Public Policymaking Reexamined argued that muddling through is not pragmatic wisdom but institutionalised inertia. Dror called for systematic redesign of policymaking itself and warned that incrementalism is inadequate for major shifts or genuine crises.

Conservative bias 🔗

Critics point out that the model privileges the status quo. Because it starts from current policy and moves only in small steps, it rarely questions fundamental assumptions. This conservative bias is fine in stable times but dangerous when problems demand structural change, as with climate change, deep poverty, or caste-based inequality.

Inadequate for urgent or complex crises 🔗

Some challenges simply cannot wait for gradual adjustment. A pandemic, a financial collapse, or an ecological emergency may require bold, comprehensive action. Relying on small steps during such moments can cost lives and resources.

Risk of inertia and complacency 🔗

Because incremental change is politically easier, policymakers may settle into it even when bigger decisions are overdue. This can produce policy drift, where institutions continue tinkering while the underlying problems worsen.

Bias toward the powerful 🔗

One of the sharpest criticisms is that incrementalism reinforces existing power imbalances. As the IGNOU study material on public policy models notes, the incremental approach can be seen as unjust because mutual adjustment tends to favour actors who already possess resources, information, and access. Marginalised groups often lack the capacity to participate effectively in the bargaining process, so their concerns get filtered out.

The “beagle fallacy” 🔗

A memorable critique known as the beagle fallacy compares incremental organisations to a beagle hound with sharp smell but poor eyesight. By focusing narrowly on immediate adjustments, they miss larger shifts in direction that could transform their effectiveness. Lindblom’s later writings acknowledged some of these worries and led him to develop the idea of strategic incrementalism, where small moves are part of a larger long-term vision.

Finding the right balance 🔗

Most scholars today see the incremental model not as a rival to the rational model but as a complement. Real governance combines both. Broad strategic goals set direction while incremental steps handle implementation. India’s push toward universal health coverage, for instance, sets an ambitious long-term target while using incremental schemes like Ayushman Bharat to move closer to it. Similarly, the shift to renewable energy pairs an ambitious national target with phased auctions, tariff adjustments, and state-level pilots.

The practical lesson is that incrementalism works best when it is guided by clear values and periodically challenged by larger questions. Without that discipline, muddling through can slide into simply muddling.

What do you think? Looking at India’s current policy landscape, which issue do you believe needs a bold, comprehensive reform rather than gradual tinkering, and why? And can a large democracy like India realistically move beyond incrementalism without sacrificing stability and consensus?

References

1. https://en.wikipedia.org/wiki/Incrementalism
2. https://journalism.university/journalistic-writings/lindbloms-incremental-approach-public-policy/
3. https://www.encyclopedia.com/social-sciences/applied-and-social-sciences-magazines/incrementalism
4. https://www.atlas101.ca/pm/concepts/lindbloms-incrementalism-and-muddling-through/
5. https://www.mea.gov.in/
6. https://www.gst.gov.in/
7. https://dfpd.gov.in/public-distribution.htm
8. https://www.digitalindia.gov.in/
9. https://mnre.gov.in/
10. https://www.apsacademy.gov.au/sites/default/files/2022-04/22-016%20-%20Toolkit-TheoryBites-31Mar22_04_muddling.pdf
11. https://academic.oup.com/policyandsociety/article/30/1/9/6422266
12. https://egyankosh.ac.in/bitstream/123456789/25794/1/Unit-3.pdf
13. https://nha.gov.in/PM-JAY