Back to The Analytical Method (Steps)
Why This Step Matters
Most weak political analysis isn’t weak because the author “picked the wrong theory” or “didn’t have enough facts.” It fails earlier, and more quietly: the analyst never specifies what, exactly, requires explanation. The piece starts with a topic (“COVID policy”), a case (“Iran sanctions”), or a controversy (“welfare reform”), and then slides into narration, commentary, or premature theorizing.
This step is a deliberate brake. It forces you to identify the analytical puzzle before you interpret, judge, or explain. In professional analysis, you do not begin by speaking; you begin by locating the question your evidence and concepts must answer. The goal is to produce a problem statement that makes explanation necessary—because the outcome is not self-evident.
From Description to Explanation
A core discipline in political analysis is separating “what happened” from “why it happened.” Description is often necessary, but it is not the analytical task.
Description typically answers: What occurred? Who did what? When did it happen? What was the sequence?
Explanation answers a different kind of question: Why did this outcome occur rather than another plausible outcome? How did institutions, incentives, coalitions, or constraints shape what actors could do? Through what mechanisms did the process produce the result?
When analysis is strong, description is used sparingly and instrumentally: only enough to set up the puzzle. The analytical work begins when the reader can see why the outcome needs an explanation.
Example
Descriptive statement
The U.S. federal government and state governments responded differently to COVID-19.
This may be true, but it is not yet an analytical problem. It does not tell the reader what is puzzling, what varies, or what requires causal reasoning.
Analytical problem
Why did U.S. states adopt sharply divergent COVID-19 policies despite facing the same national public health threat?
Now the statement creates a puzzle. It implies that, given a shared threat, convergence might have been expected, yet divergence occurred. That gap between expectation and outcome is where analysis lives.
What Is an Analytical Problem?
An analytical problem is not a theme (“democracy”), a label (“corruption”), or a case title (“Brexit”). It is also not a moral verdict (“failure,” “injustice,” “good policy,” “bad policy”). Those can be motivations for studying something, but they are not the problem itself.
An analytical problem is a puzzle: an outcome that cannot be explained by common sense alone and therefore requires a structured causal account. It is usually built from tension—between expectation and reality, between similar cases and different outcomes, or between stated goals and persistent results.
Good puzzles often come from: surprising outcomes (something occurred that many observers did not anticipate), variation across comparable units (similar countries, regions, elections, institutions, but different results), persistence (a policy or institution continues despite apparent failure or cost), constraints (obvious solutions are blocked, so actors choose second-best strategies).
A practical diagnostic: if your “answer” is basically a slogan, a value judgment, or “because they wanted it,” then you do not yet have an analytical problem. You have a position, not a puzzle.
Analytical Questions: “Why” and “How”
Most usable analytical problems can be expressed as “why” or “how” questions because these formats force you to specify mechanisms, constraints, and processes. They also discourage yes/no framing that collapses complexity into a verdict.
Bad vs. Good Questions
Bad question: Was the U.S. response to COVID-19 a failure?
Why it fails: it invites evaluation before explanation.
Better analytical question: How did federalism shape coordination failures during the U.S. COVID-19 response?
Why it works: it specifies a plausible causal structure (federalism → coordination) that can be investigated.
Bad question: Did sanctions work against Iran?
Why it fails: it reduces a multi-stage bargaining and domestic politics problem to a binary outcome.
Better analytical question: How did sanctions interact with domestic political constraints and bargaining dynamics in the Iran nuclear negotiations?
Why it works: it pushes you toward mechanisms (constraints, bargaining, interaction effects).
Bad question: Is welfare reform good or bad?
Why it fails: it is purely normative.
Better analytical question: Why was Sweden able to reform its welfare state without dismantling its core universalist principles?
Why it works: it identifies a specific and arguably non-obvious outcome that requires explanation.
Common Mistakes at This Stage
First, starting with opinion language. When your first draft begins with “I believe,” “this proves,” or “this policy was wrong,” you have started at the conclusion. Analysis may eventually evaluate, but it must first explain.
Second, treating chronology as causation. A timeline can clarify sequence, but sequence alone does not establish why one outcome occurred rather than another. Listing events is not a mechanism.
Third, moralizing instead of analyzing. Cases involving repression, inequality, or abuse often trigger immediate judgment. That impulse is human, but professional analysis has a sequence: explain the production of the outcome first, then—if your genre requires it—evaluate it.
Fourth, selecting theory too early. When the “lens” comes first, the problem gets retrofitted to the theory. This produces forced interpretations, concept-dropping, and shallow matching rather than explanation.
Why This Step Comes Before Theory
Theory is an explanatory instrument. Instruments are chosen based on the job. If you do not know what needs explaining, theory becomes decoration: labels replace mechanisms, and jargon replaces argument.
A well-defined problem performs two functions. It sets the boundary of the analysis (what is being explained, and what is not). And it guides selection of the most appropriate explanatory approach (institutional, strategic, structural, ideational, etc.). Only after the puzzle is clear does it make sense to ask which theory is most diagnostic and what mechanisms are plausible.
That transition—moving from a well-formed puzzle to a justified choice of explanatory lens—is the purpose of Step 2.
What You Should Have After Step 1
Before you move on, you should be able to state in one or two sentences: the outcome or variation you are explaining, why it is non-obvious (what expectation it violates, or what comparison makes it puzzling), and what kind of explanation the question demands (institutional design, strategic interaction, coalition dynamics, structural constraints, or combinations of these).
If you cannot do this, continuing will not “fix itself” later. You will drift into description or theory-fitting, and your argument will remain unclear.
Good analysis is deliberately slow at the start because it prevents wasted effort later. The time you spend sharpening the question is repaid by a cleaner structure, more relevant evidence choices, and a more persuasive causal narrative.
Before You Move On
Pick a case you already know reasonably well (current or historical). Write one “why” or “how” question. Then stress-test it:
Can it be answered with “good/bad”? If yes, it’s evaluative, not analytical.
Can it be answered with “because X wanted it”? If yes, it’s under-specified; add constraints, institutions, or interaction.
Does it force you to describe a process or mechanism (coordination failure, bargaining, veto points, principal–agent drift, coalition management, agenda control)? If yes, you are close.
Proceed only when your question makes explanation unavoidable—because the outcome is not self-evident.