Building a Research Checklist

Good investing depends on judgment.

But judgment improves when important questions are asked consistently.

A research checklist helps make that possible.

The purpose of a checklist is not to turn investing into a mechanical formula.

It is to reduce avoidable mistakes.

A useful checklist asks:

What must I understand before I commit capital?

That question should guide the entire research process.

Why Checklists Matter

Investors make mistakes for many reasons.

They may:

• become excited about a story,
• ignore an uncomfortable risk,
• forget to check debt,
• anchor to a valuation,
• overestimate growth,
• trust management too easily,
• or focus on evidence that confirms what they already believe.

A checklist creates friction against those errors.

A Checklist Does Not Replace Thinking

A checklist should not produce an automatic:

Buy

or:

Sell.

It should instead ensure that the investor has examined the major dimensions of the decision.

The checklist creates structure.

The investor still has to interpret the evidence.

The Checklist Should Follow the Investment Process

A strong checklist should move in a logical order.

One useful sequence is:

1. Understand the business.
2. Understand the financial statements.
3. Evaluate Quality.
4. Evaluate Financial Strength.
5. Evaluate the Moat.
6. Evaluate Management.
7. Evaluate Growth.
8. Estimate Value.
9. Evaluate Risk.
10. Evaluate Evidence.
11. Build the Investment Thesis.
12. Evaluate Portfolio Context.
13. Define Thesis Breakers.
14. Decide what additional research is required.

The sequence helps prevent premature conclusions.

Step 1 — Understand the Business

Before calculating anything complicated, ask:

What does this company actually do?

Questions may include:

• What does it sell?
• Who are the customers?
• Why do customers buy?
• How does the company make money?
• What are the major costs?
• What capital is required?
• What are the major business segments?
• What industry does it operate in?
• What drives demand?

If the business cannot be explained simply, more research may be needed.

Business Model

A checklist should force the investor to describe the business model in plain language.

For example:

The company sells subscription software to businesses and earns recurring revenue from annual contracts.

This is more useful than repeating company marketing language.

Revenue Drivers

Ask:

What actually causes revenue to grow or decline?

Possible drivers include:

• customer growth,
• pricing,
• transaction volume,
• store count,
• market share,
• commodity prices,
• subscriptions,
• or acquisitions.

Understanding the drivers helps later monitoring.

Cost Structure

Ask:

• Which costs are fixed?
• Which are variable?
• What happens to margins if revenue falls?
• What costs are likely to rise with growth?
• What costs can management actually control?

Cost structure affects both Quality and Risk.

Capital Intensity

Ask:

How much capital does the business require to grow and maintain operations?

A business that earns $1 billion while requiring $900 million of reinvestment is economically different from one requiring $200 million.

Cash generation must be understood after necessary reinvestment.

Step 2 — Understand the Financial Statements

A research checklist should require review of:

• Income Statement,
• Balance Sheet,
• Cash Flow Statement,
• and relevant notes.

Do not rely only on summary ratios.

The statements show how the business actually operates financially.

Income Statement Questions

Ask:

• Is revenue growing?
• Are margins stable?
• Are operating expenses rising faster than revenue?
• Are earnings recurring?
• Are unusual items affecting profit?
• Are adjusted earnings meaningfully different from reported earnings?

The goal is to understand earning power.

Balance Sheet Questions

Ask:

• How much cash exists?
• How much debt exists?
• When does debt mature?
• What assets matter?
• What liabilities could create risk?
• Are receivables or inventory growing unusually fast?
• Is goodwill significant?

The balance sheet reveals resilience and hidden fragility.

Cash Flow Questions

Ask:

• Do earnings convert into cash?
• What does working capital do?
• How much capital expenditure is required?
• What is sustainable free cash flow?
• Is cash flow being distorted by temporary movements?

Cash flow helps separate accounting earnings from owner economics.

Step 3 — Evaluate Business Quality

Ask:

Is this an economically attractive business?

Relevant questions include:

• Are margins attractive?
• Are returns on capital high?
• Is cash conversion strong?
• Are economics consistent?
• Does the company create value when it grows?
• Are incremental returns attractive?

Quality should be grounded in economics.

Historical Quality

Ask how the business performed through:

• strong economies,
• recessions,
• industry disruptions,
• and different competitive environments.

Consistency across conditions can strengthen confidence.

Incremental Quality

Do not examine only historical averages.

Ask:

What returns are new investments earning?

A company may have excellent past ROIC while current reinvestment produces much lower returns.

That matters for future value creation.

Step 4 — Evaluate Financial Strength

Ask:

Can the company survive a serious adverse scenario?

Review:

• debt,
• liquidity,
• interest coverage,
• debt maturity schedule,
• covenant risk,
• and free cash flow.

A weak balance sheet can convert a temporary problem into permanent loss.

Stress the Balance Sheet

Do not evaluate debt only under the base case.

Ask:

What happens if earnings fall 30%?

What happens if refinancing becomes expensive?

What happens if recovery takes three years instead of one?

Financial resilience should be tested under stress.

Step 5 — Evaluate the Moat

Ask:

Why should attractive economics persist?

Possible moat mechanisms include:

• switching costs,
• brand,
• network effects,
• cost advantage,
• scale,
• or other structural advantages.

The checklist should require the investor to name the mechanism.

Evidence of the Moat

Then ask:

What evidence shows the moat actually exists?

Possible evidence includes:

• retention,
• pricing power,
• market-share stability,
• high returns,
• customer behavior,
• or relative margins.

A moat without evidence is a story.

Moat Durability

Ask:

• What could weaken the moat?
• Are switching costs falling?
• Are substitutes improving?
• Are competitors becoming stronger?
• Is technology changing the industry?
• Is regulation changing economics?

A moat is valuable only if it lasts.

Step 6 — Evaluate Management

Management should be evaluated through capital allocation and behavior.

Ask:

• Does management reinvest intelligently?
• Are acquisitions rational?
• Is debt used responsibly?
• Are buybacks sensible?
• Is dilution controlled?
• Are incentives aligned?
• Is disclosure transparent?

Management quality should be evidence-based.

Capital Allocation Record

Review major decisions over several years.

For each major use of capital, ask:

Did this create per-share value?

This can reveal whether management deserves trust.

Management Communication

Ask whether management:

• explains mistakes,
• changes definitions frequently,
• relies heavily on adjusted measures,
• or becomes increasingly promotional.

Communication quality can affect confidence.

Step 7 — Evaluate Growth

Ask:

Can the business grow while creating value?

Growth should be connected with:

• reinvestment,
• returns,
• dilution,
• and durability.

Revenue growth alone is not enough.

Growth Drivers

Identify whether growth comes from:

• volume,
• price,
• new products,
• acquisitions,
• geography,
• or market expansion.

Different growth sources have different economics.

Growth Runway

Ask:

• How large is the remaining opportunity?
• Is the market becoming saturated?
• Are customer acquisition costs rising?
• Can current economics persist at greater scale?
• What could shorten the runway?

The runway should be evidence-based.

Step 8 — Estimate Intrinsic Value

Only after understanding the business should valuation become central.

Ask:

What is this business reasonably worth?

Valuation should reflect:

• sustainable earnings,
• cash flow,
• growth,
• reinvestment,
• risk,
• and uncertainty.

Use a Range

Avoid false precision.

Instead of:

Intrinsic value = $107.42

consider:

Reasonable value range = $90 to $115

if the evidence supports that level of uncertainty.

The range should widen when uncertainty increases.

Normalize the Economics

Before valuing the company, ask whether current results are:

• normal,
• unusually strong,
• or unusually weak.

Cyclical businesses especially require normalized earnings and margins.

Margin of Safety

Ask:

Does the current price leave enough room for error?

Margin of safety should reflect:

• uncertainty,
• evidence quality,
• business risk,
• and valuation sensitivity.

A highly uncertain company generally deserves more room for error.

Step 9 — Evaluate Risk

Ask:

How could I permanently lose capital?

Do not limit risk analysis to stock-price volatility.

Possible risks include:

• moat erosion,
• debt,
• customer concentration,
• management failure,
• dilution,
• regulation,
• disruption,
• or extreme valuation.

The checklist should identify pathways, not just labels.

Bear Case

Write a realistic bear case.

Ask:

• What goes wrong?
• Why?
• How far can earnings fall?
• What happens to the balance sheet?
• What happens to value?

A serious bear case prevents optimism from dominating the analysis.

Stress Case

Then ask:

What happens under unusually severe conditions?

The objective is not to predict catastrophe.

It is to determine whether the company and the portfolio can survive it.

Step 10 — Evaluate Evidence

Ask:

• What evidence supports the thesis?
• What contradicts it?
• What is missing?
• What is stale?
• What is inferred?
• What comes from independent sources?

Evidence quality determines conviction.

Supporting Evidence

List the strongest evidence supporting the investment.

Do not write vague statements.

Use concrete observations.

For example:

Customer retention has remained above 93% for five years despite multiple price increases.

This is stronger than:

Customers seem loyal.

Contradictory Evidence

Then list evidence against the thesis.

Examples might include:

• falling margins,
• rising leverage,
• customer losses,
• or weaker incremental returns.

Do not hide contradictions.

Unknowns

Write what you do not know.

Examples:

• uncertain moat durability,
• limited international economics,
• unclear acquisition integration,
• or missing segment data.

Unknowns should reduce confidence where appropriate.

Step 11 — Build the Investment Thesis

After working through the checklist, summarize the investment case.

A strong thesis should explain:

• what the business does,
• why it may create value,
• what evidence supports that view,
• what assumptions matter,
• what valuation is being paid,
• and what could prove the thesis wrong.

The thesis should connect the research.

It should not merely repeat the checklist.

State the Thesis in Plain Language

Try to explain the investment in a few sentences.

For example:

The company appears capable of compounding owner earnings because high customer retention supports pricing power, strong returns on capital, and a long reinvestment runway. Financial strength is high, and the current valuation provides a reasonable margin of safety. The thesis would weaken materially if retention falls persistently or incremental returns decline.

This is more useful than a collection of disconnected metrics.

Step 12 — Define Thesis Breakers

Before buying, write:

What evidence would prove this thesis wrong?

Possible breakers might include:

• customer retention below a critical threshold,
• sustained moat erosion,
• leverage above a safe level,
• negative incremental ROIC,
• or repeated poor capital allocation.

A thesis without a way to be falsified can become a story that survives any evidence.

Warning Signals vs. Thesis Breakers

Not every concern should trigger the same response.

Warning Signal

A development that deserves attention.

Thesis Breaker

Evidence that invalidates a critical assumption.

For example:

One quarter of weaker margins may be a warning.

Permanent loss of pricing power may break the thesis.

Step 13 — Evaluate Portfolio Context

A company can be attractive while still being inappropriate for the portfolio.

Ask:

• What would the position size be?
• What other holdings are correlated?
• How much concentration would this create?
• What is the downside if the thesis is wrong?
• What liquidity needs exist?
• What other opportunities compete for the capital?

Company analysis and portfolio construction should remain connected.

Position Size Should Reflect Uncertainty

A high-conviction investment with:

• strong evidence,
• strong financial strength,
• and limited permanent-loss pathways

may justify a larger position than a highly uncertain turnaround.

But even strong conviction does not justify unlimited concentration.

Step 14 — Identify Opportunity Cost

Ask:

What is the best alternative use of this capital?

Possible alternatives include:

• another stock,
• cash,
• debt reduction,
• or no action.

An investment does not need merely to be:

good.

It should be attractive relative to realistic alternatives.

Step 15 — Decide Whether More Research Is Needed

Sometimes the correct conclusion is:

Not ready.

The checklist may reveal:

• missing evidence,
• unclear economics,
• uncertain valuation,
• or unresolved risk.

That is useful.

A checklist should sometimes prevent a decision.

The Stop Rule

A useful research process needs a stopping rule.

Without one, investors can research forever.

One possible rule is:

I can make a decision when I understand the business, major risks, valuation, evidence quality, and thesis breakers well enough that additional research is unlikely to materially change the conclusion.

The exact wording can vary.

The principle is to distinguish useful research from endless information gathering.

Research Depth Should Match Decision Importance

A tiny exploratory position may justify less research than a 20% portfolio allocation.

The larger the consequence of being wrong, the higher the research standard should be.

Checklist depth should scale with:

• position size,
• uncertainty,
• complexity,
• and downside severity.

A Checklist Should Be Modular

Different businesses require different questions.

A bank needs different analysis from:

• a software company,
• a miner,
• a retailer,
• or a utility.

The core checklist should remain stable.

Industry-specific modules can be added.

Core Checklist

The core can cover:

• business,
• financials,
• quality,
• financial strength,
• moat,
• management,
• growth,
• valuation,
• risk,
• evidence,
• thesis,
• and portfolio context.

Then specialized modules can extend it.

Example: Software Module

Additional questions might include:

• retention,
• recurring revenue,
• customer acquisition cost,
• gross margin,
• sales efficiency,
• and stock-based compensation.

Example: Bank Module

Additional questions might include:

• capital ratios,
• credit quality,
• deposit funding,
• loan concentration,
• net interest margin,
• and liquidity.

Example: Cyclical Module

Additional questions might include:

• normalized margins,
• peak earnings,
• commodity sensitivity,
• cost position,
• debt through the cycle,
• and replacement capital.

The process remains consistent even when the details differ.

Avoid a Checklist With Hundreds of Questions

More questions do not automatically improve research.

A checklist can become so long that investors:

• rush through it,
• answer mechanically,
• or ignore the important items.

The goal is not maximum length.

The goal is reliable coverage of critical issues.

High-Impact Questions Matter Most

Some questions deserve more attention because they can change the entire conclusion.

Examples include:

Why does this business earn high returns?

What can permanently destroy the moat?

Can the company survive the bear case?

What assumptions explain current valuation?

What would prove me wrong?

These should never become routine boxes.

Use Open-Ended Questions

Binary questions can be useful.

But open-ended questions often produce better thinking.

Instead of:

Does the company have a moat? Yes/No

ask:

What prevents competitors from taking customers, and what evidence shows that advantage is durable?

The second question forces explanation.

Avoid Leading Questions

A weak checklist might ask:

Why is this a great business?

That assumes the answer.

A better question is:

What evidence supports or contradicts the conclusion that this is a high-quality business?

Neutral wording reduces confirmation bias.

Add Disconfirming Questions

A strong checklist deliberately searches for reasons the thesis may be wrong.

Questions might include:

• What is the strongest bear argument?
• Which assumption has the weakest evidence?
• What would a competitor say?
• What could make historical quality irrelevant?
• Why might the stock deserve its current low valuation?

This strengthens the process.

Use Inversion

Inversion asks:

What would cause this investment to fail badly?

Then investigate those pathways.

Possible answers include:

• leverage,
• customer loss,
• fraud,
• moat erosion,
• overvaluation,
• or management failure.

Avoiding severe mistakes can matter as much as finding upside.

Add a Pre-Mortem

Before buying, imagine the investment has produced a permanent loss five years from now.

Ask:

What happened?

Then write the most plausible explanation.

This can reveal risks that optimistic analysis misses.

Add a Fresh-Eyes Question

Ask:

If I had no position and no prior opinion, what would I think of this company today?

This helps reduce:

• anchoring,
• sunk-cost bias,
• and emotional attachment.

The same question remains useful after purchase.

Build a Research Summary

At the end of the checklist, summarize the case on one page.

Possible sections:

Business

What does the company do?

Quality

What are the economics?

Moat

Why might they persist?

Management

How is capital allocated?

Growth

What creates future value?

Financial Strength

Can the company survive adversity?

Valuation

What is the value range?

Risk

What can permanently impair value?

Evidence

How confident is the analysis?

Thesis

Why might the investment succeed?

Thesis Breakers

What would prove it wrong?

This summary makes the decision reviewable.

Record Sources

Important conclusions should be traceable to sources.

Record where critical evidence came from, such as:

• annual reports,
• quarterly reports,
• company disclosures,
• historical financial data,
• or other primary evidence.

This makes later review more efficient.

Date the Checklist

Every completed checklist should have a date.

Why?

Because evidence changes.

A checklist completed:

two years ago

may no longer reflect current:

• debt,
• management,
• growth,
• valuation,
• or risk.

Dating the work makes staleness visible.

Version the Checklist

The checklist itself should evolve.

For example:

Version 1

Original checklist.

Version 2

Added dilution analysis after repeated mistakes.

Version 3

Added incremental ROIC.

Version 4

Added thesis-breaker definitions.

A changing checklist records learning.

Every Mistake Can Improve the Checklist

Suppose an investor loses money because they ignored:

• debt maturity risk.

Add a question:

When does debt mature, and what happens if refinancing conditions worsen?

Suppose another mistake comes from:

• customer concentration.

Add:

What percentage of revenue comes from the largest customers?

The process learns from experience.

Do Not Add Questions From Every Random Outcome

Checklist evolution should be thoughtful.

A stock can decline for reasons that were:

• unknowable,
• irrelevant,
• or impossible to generalize.

Do not turn every bad outcome into a new rule.

Add questions when they reveal a repeatable process weakness.

Checklist vs. Decision Journal

The checklist asks:

Did I examine the right questions before deciding?

The Decision Journal asks:

What did I believe, expect, and decide at the time?

The two tools work together.

The next lesson will focus on the Decision Journal.

Checklist Before Purchase

Before initiating a position, the checklist can verify that:

• business understanding is sufficient,
• major risks are known,
• valuation is reasonable,
• evidence supports the thesis,
• and portfolio context is acceptable.

This creates a final quality-control step.

Checklist Before Adding

Before adding more capital, revisit the checklist.

Ask:

• What changed?
• Is the thesis stronger?
• Is valuation more attractive?
• Did risk increase?
• Is the position still appropriately sized?

Adding deserves the same discipline as the original purchase.

Checklist Before Selling

A checklist can also help before selling.

Ask:

• Is the thesis broken?
• Did value fall?
• Is the stock merely volatile?
• Is valuation extreme?
• Is there a better use of capital?
• Am I reacting emotionally?

This reduces panic decisions.

Checklist During Monitoring

The checklist can identify the variables that deserve ongoing monitoring.

For example:

• retention,
• debt,
• margins,
• incremental ROIC,
• and share count.

These become part of the thesis-monitoring system.

Common Mistakes

Treating the checklist as a formula

It organizes thinking; it does not automate judgment.

Checking boxes without understanding

A completed checklist can still contain poor analysis.

Making the checklist too long

Critical questions can disappear inside bureaucracy.

Using leading questions

The checklist should challenge the thesis, not defend it.

Ignoring industry differences

Different businesses require specialized questions.

Failing to update the checklist

The process should improve with experience.

Completing the checklist after deciding

The checklist is most useful before emotional commitment becomes strong.

Ignoring missing evidence

Unknowns should remain visible.

Practical Exercise

Build your own research checklist.

Start with these headings:

1. Business
2. Financial Statements
3. Quality
4. Financial Strength
5. Moat
6. Management
7. Growth
8. Valuation
9. Risk
10. Evidence
11. Investment Thesis
12. Portfolio Context
13. Thesis Breakers

Under each heading, write:

three to five questions

that you believe are essential.

Then add three special questions:

Disconfirming Question

What evidence would make me reject my current conclusion?

Pre-Mortem Question

If this investment produces a permanent loss, what is the most likely reason?

Opportunity-Cost Question

What is the best alternative use of this capital?

Next, take one company and complete the checklist.

At the end, classify each section:

• Clear
• Needs More Research
• High Uncertainty
• Major Concern

Then ask:

Am I ready to make a decision?

If not, identify exactly what additional evidence is required.

Finally save the checklist as:

Version 1

It should improve as your investment experience grows.

The Buffett Perspective

A disciplined investor does not need an elaborate formula to replace judgment.

But even experienced investors can make avoidable mistakes.

A checklist helps protect against:

• forgetting important questions,
• becoming overly enthusiastic,
• ignoring risk,
• and relying too heavily on one attractive feature.

The most important questions remain simple:

• Do I understand the business?
• Is it economically attractive?
• Can those economics persist?
• Is management rational?
• What is the business worth?
• What can permanently go wrong?
• Is the price sensible?

The checklist exists to make sure those questions are actually answered.

The RW Finance Perspective

RW Finance should help turn the Academy framework into a repeatable research process.

A research checklist can connect:

• Company Page,
• Stock Quality Flower,
• Financial Strength,
• Moat,
• Management,
• Growth,
• Valuation,
• Risk,
• Evidence,
• Research Report,
• Investment Thesis,
• Watchlist,
• Portfolio,
• and Research Journal.

The checklist should not generate an automatic investment recommendation.

Instead, it should help the user see:

• which questions have been answered,
• which evidence supports each conclusion,
• which areas remain uncertain,
• which risks deserve attention,
• and what must be researched next.

A useful checklist should be:

• modular,
• transparent,
• editable,
• and versioned.

Users should be able to improve their checklist as they learn from:

• successful investments,
• mistakes,
• missed risks,
• and better analytical methods.

The checklist becomes part of the investor's personal research system.

The goal is not:

perfect analysis.

The goal is:

a repeatable process that reduces avoidable mistakes and improves judgment over time.

Key Takeaways

• A research checklist creates a repeatable sequence of questions without turning investing into a mechanical formula.
• The checklist should cover business understanding, financial statements, Quality, Financial Strength, Moat, Management, Growth, Valuation, Risk, Evidence, Thesis, and Portfolio Context.
• Important conclusions should be supported by traceable evidence and explicit assumptions.
• Open-ended and disconfirming questions reduce confirmation bias better than simple box checking.
• Bear cases, stress cases, pre-mortems, and thesis breakers help expose permanent-loss pathways.
• Position size and opportunity cost belong in the research process because company quality alone does not determine allocation.
• Different industries may require specialized checklist modules while preserving a stable core process.
• A checklist should be concise enough to use seriously and detailed enough to catch important omissions.
• The checklist should be dated, versioned, and improved when repeated process weaknesses are discovered.
• The checklist can support purchase, adding, selling, and monitoring decisions.
• A completed checklist does not guarantee a good outcome; it improves the quality and consistency of the decision process.
• The purpose of the checklist is to make disciplined research repeatable and gradually improve investor judgment.