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A narrative and numbers checklist

Throughout this chapter, you've learned to build investment theses by combining narrative discipline with financial rigor. You write down the story, ground it in cash flows, identify the ways it could fail, update it when new information arrives, and avoid both value traps (great numbers, broken story) and bull traps (great story, broken numbers). But discipline requires process. This checklist consolidates the narrative-and-numbers approach into a practical, actionable framework you can use before you commit capital to any investment. The checklist has four sections: the narrative, the numbers, the validation layer (where narrative and numbers connect), and the ongoing monitoring system.

Quick definition: The narrative and numbers checklist is a structured set of questions designed to ensure your investment case is built on both a coherent story and financial fundamentals that support it.

Key takeaways​

  • A complete investment thesis requires narrative clarity AND numerical validation; this checklist ensures you don't skip either.
  • The checklist is organized into four phases: narrative construction, numerical validation, narrative-plus-numbers validation, and ongoing monitoring.
  • Use the checklist before you buy (to ensure your case is complete) and after you buy (to ensure you're monitoring the right metrics and the thesis is holding up).
  • The checklist is a thinking tool, not a scoring tool; the goal is clarity, not a numerical grade.
  • The most important items are the ones where narrative and numbers disagree, signaling blind spots or misalignment.

Section One: The Narrative​

These questions ensure your story is clear, specific, and grounded in competitive logic, not just hope.

On the business and competitive position:

  • Can you state the company's core business in one sentence? ("Sells digital marketing software to SMBs"; not "is a leader in marketing automation")
  • What is the primary competitive advantage or moat? (Network effects, brand, scale, switching costs, or other?)
  • Why does that moat exist today? What competitive action or market shift created it?
  • How defensible is that moat over the next five years? What could erode it?
  • Who are the direct competitors, and why do we win versus them?
  • Who are the indirect competitors or threats, and what would need to happen for them to become direct threats?
  • What percentage of the market does the company currently own? What percentage could it realistically own in five years?
  • Is the addressable market growing, stable, or shrinking? At what rate?

On the business model and unit economics:

  • How does the company make money? (Subscription, license, transaction fee, advertising, other?)
  • Is the revenue model recurring or transactional? How durable are customer relationships?
  • What is the customer acquisition cost (CAC)? How is it trending?
  • What is the customer lifetime value (LTV)? What assumptions drive it?
  • Is the unit economics positive (LTV > CAC by a healthy margin)? If not, what's the path to positive?
  • What is the gross margin profile? Is it trending toward or away from your long-term assumption?
  • What are the fixed costs as a percentage of revenue? What happens to margins as revenue scales?
  • How capital-intensive is the business? What capex is required to sustain or grow?

On management and execution:

  • Who is the CEO? What's their track record at this company and previous roles?
  • Who is the CFO? Do they have credibility and stability?
  • Is management's track record of delivering on guidance strong, weak, or mixed?
  • What is management's capital allocation track record? (M&A, R&D investment, buybacks, dividends—do they make sense?)
  • Do management's incentives align with long-term value creation or short-term metrics gaming?
  • What is the governance structure? Is the board independent and competent?
  • Are there any red flags in management or governance? (Turnover, lawsuits, insider selling, conflicts of interest?)

On the narrative shifts and scenarios:

  • What is the base-case narrative: what succeeds and why?
  • What is the bull-case narrative: what could cause outperformance beyond base case?
  • What is the bear-case narrative: what would cause the thesis to fail?
  • Have you pre-mortemed the investment? What are the three to five failure modes?
  • What new information would require you to update the narrative significantly?
  • How sensitive is the thesis to changes in competition, market size, or management?

Section Two: The Numbers​

These questions ensure your financial analysis is rigorous, realistic, and grounded in industry context.

On historical financial performance:

  • What are the last five years of revenue growth rates? Are they accelerating or decelerating?
  • What are the last five years of gross margin trends? Why have they moved?
  • What are the last five years of operating margin trends? Is operating leverage improving or deteriorating?
  • What are free cash flow generation and trends? Is the company profitable on a cash basis?
  • What is the return on invested capital (ROIC)? How does it compare to cost of capital?
  • What is the revenue per employee, and is it stable or improving?
  • What is the customer concentration? (Top 10 customers as % of revenue?) Is it improving or worsening?
  • Is there any revenue that's non-recurring or one-time that's inflating growth rates?

On the balance sheet and capital structure:

  • What is the current debt-to-equity ratio? Is it appropriate for the industry?
  • What is the interest coverage ratio? Can the company service debt comfortably?
  • What is working capital as a percentage of revenue? Is it improving or deteriorating?
  • Are there any off-balance-sheet liabilities or contingent obligations?
  • Is the balance sheet strong enough to fund growth organically, or will capital raises be needed?
  • If capital raises are needed, how dilutive will they be?
  • What is the company's financial flexibility? (Cash position, credit lines, refinancing ability?)

On valuation and multiples:

  • What is the current price-to-earnings multiple? Trailing and forward?
  • How does this multiple compare to historical multiples for this company?
  • How does this multiple compare to industry peers? Is the company trading at a premium or discount?
  • What growth rate and margin profile is the valuation assuming? (Use reverse DCF.)
  • What is the free cash flow yield? How does it compare to cost of capital and required returns?
  • What is the price-to-sales ratio? Price-to-book? Price-to-free-cash-flow?
  • What happens to the valuation if growth is 20% instead of 30%? If margins are 18% instead of 20%?
  • Does the valuation leave room for execution risk and competitive surprises, or does it assume perfection?

On forward projections (build your own or find consensus):

  • What are the consensus expectations for revenue growth in years one through five?
  • What are the consensus expectations for operating margins in years one through five?
  • When is the company expected to achieve profitability (if not already)?
  • What are the assumed free cash flow generation and capital expenditure needs?
  • What is the implied terminal growth rate? Is it reasonable (in line with long-term GDP growth)?
  • What is the implied terminal margin? Is it competitive with industry leaders?
  • Are the consensus expectations realistic given competition and market conditions?
  • Where do consensus expectations differ from your base-case assumptions? Why?

Section Three: Narrative-Plus-Numbers Validation​

These questions ensure the narrative is supported by the numbers and vice versa.

Checking alignment:

  • Does the narrative explain the company's current financial position? (If you say "strong moat," do the numbers show high ROIC and margins?)
  • Do the numbers support the growth story? (If you project 25% growth, do unit economics and market position support that?)
  • Is there any disconnect between your narrative (story is good) and the numbers (metrics are deteriorating)? What does that mean?
  • Is there any disconnect between the numbers (metrics look good) and the narrative (story is concerning)? What does that mean?
  • If the narrative is right but requires execution (new CEO, product ramp, market expansion), do the numbers give a clear timeline for when execution pays off?
  • If the numbers are impressive but the competitive position is uncertain, how long before competition compresses margins?

Stress testing the case:

  • If growth is 15% instead of 25% due to competition or slower market adoption, is the investment case still valid?
  • If profitability takes an extra two years to achieve due to higher customer acquisition costs, is the return still acceptable?
  • If a new competitor enters and captures 20% market share, can the company maintain margins and return on capital?
  • If management is replaced or key talent leaves, does the narrative still hold up?
  • If the industry faces a cyclical downturn (recession, customer spending cuts), what is the downside case?
  • If your key assumption (about market size, moat durability, or customer churn) is wrong by 20%, what is the impact on returns?

Testing against base rates:

  • For companies with this narrative profile, what is the base rate of success in this industry?
  • For companies with this growth profile, what is the base rate of achieving that growth sustainably?
  • For companies with this competitive structure, what is the base rate of moat durability?
  • For founders or management teams with this track record, what is the base rate of success?
  • Are you assuming this company is exceptional, or are you following the base rate? If exceptional, why?

Building the pre-mortem:

  • If this investment fails (the stock declines 50%+ in three years), what will have happened?
  • What are the three to five failure modes? (Competitive intensity, management failure, lower margins, market timing, other?)
  • For each failure mode, what evidence would tell you it's happening in real time?
  • What are the leading indicators you'll monitor to catch failure modes early?
  • At what signal will you exit the position?

Section Four: Ongoing Monitoring​

After you buy, these questions ensure you're watching the right metrics and updating the thesis when necessary.

Quarterly review:

  • Did the company meet revenue expectations? If not, why?
  • Did gross and operating margins meet expectations? If not, why?
  • Did the company generate the expected free cash flow?
  • Is customer acquisition cost trending as expected? Is customer retention stable?
  • Are there any new competitive or market developments that affect the narrative?
  • Has any significant news affected management credibility or capital allocation?
  • Do the quarterly results change your assumptions about long-term growth or profitability?

Annual deep-dive review:

  • Is the narrative still intact, or has it shifted materially?
  • Has any failure mode from the pre-mortem emerged? (Even early signal?)
  • Do the numbers support the narrative, or is there a disconnect?
  • Has management's execution been credible? On what dimensions?
  • Has competitive position strengthened or weakened?
  • Do industry trends support or challenge the thesis?
  • Is the valuation still reasonable given updated expectations?
  • Would you buy the stock today at the current price, given what you now know?

Thesis update triggers:

  • Has revenue growth decelerated by more than 10% year-over-year? (Investigate why.)
  • Have gross margins compressed by more than 200 basis points? (Investigate why.)
  • Has ROIC declined by more than 200 basis points? (Investigate why.)
  • Have you missed earnings guidance three quarters in a row? (Time to update.)
  • Has a new competitor or threat emerged that wasn't on your radar? (Time to update.)
  • Has management credibility been damaged? (Missed guidance, poor capital allocation, insider selling, other?) (Time to update.)
  • Has the market structure shifted (consolidation, disruption, shift to lower-margin products)? (Time to update.)
  • Has customer concentration increased or a major customer left? (Time to update.)

Position management:

  • Is the position size appropriate for the conviction level and execution risk?
  • If conviction has declined, should you trim the position?
  • If the thesis has shifted to more bullish, should you add?
  • If failure modes are emerging, should you exit entirely?
  • What is your exit criteria? At what stock price or news trigger will you sell?
  • Are you holding due to conviction in the thesis, or due to sunk-cost anchoring to your entry price?

Using the checklist: practical guidance​

Before you buy:

Use the full checklist. Don't skip sections. The goal is to ensure your investment case is complete. If you can't answer 80% of the questions, you don't understand the investment well enough to commit capital. Incomplete answers are not a reason to avoid the investment; they're a reason to do more research or to reduce position size.

If you're inheriting a position:

Use the narrative section and the validation section to understand why you own this stock. Does the narrative still make sense? Do the numbers still support it? If you can't articulate a clear thesis, consider exiting.

Quarterly and annual reviews:

Use the monitoring section. You don't need to answer every question every quarter. But answer enough to know whether the thesis is holding up. If you see trigger events, move to the thesis update section.

Updating after new information:

When significant news arrives (earnings miss, CEO departure, competitive shift, other), use the validation section to assess whether the narrative and numbers are still aligned. This is where you update the thesis or exit.

Building conviction:

The more of the checklist you can answer confidently, the higher your conviction should be. Weak answers (guesses, assumptions without evidence, narrative unsupported by numbers) should reduce conviction. Position size should reflect answer quality.

FAQ​

Should I give the checklist a numerical score? No. The checklist is a thinking tool, not a scoring system. The goal is clarity, not a grade. The most valuable part of using the checklist is identifying the questions you can't answer; those are the gaps in your analysis.

Is there a "minimum" number of checks I need to pass to buy a stock? No formal minimum, but practically, if you can't answer the narrative questions clearly, you shouldn't buy. If you can't answer the numbers questions, you should do more research or size the position smaller.

Which items in the checklist are most important? The ones where narrative and numbers diverge. If your narrative is bullish but the numbers are deteriorating, or your numbers are attractive but the competitive story is concerning, that's where to focus. Those disconnects signal blind spots.

Can I use this checklist for bonds, real estate, or other investments? The checklist is built for stocks, but the framework (narrative + numbers validation) applies to any investment. Adapt the specific questions to the asset class.

How often should I revisit the full checklist after I buy? The full checklist annually. The monitoring section quarterly. The pre-mortem tracking continuously—if pre-mortem evidence appears, revisit the thesis immediately.

What if I'm buying an index fund, not a single stock? The checklist is most useful for concentrated positions where you have conviction. For index funds, a simpler analysis suffices (market valuations reasonable, diversification adequate, cost low).

Should I share my checklist answers with other investors? Yes, if they're asking for your thesis. Written answers force clarity and help you spot weak reasoning before you commit capital.

  • Narrative and numbers approach: The full framework this checklist operationalizes.
  • Pre-mortem analysis: Identifying failure modes; the checklist builds on this discipline.
  • Investment thesis: The written narrative and numbers together form your thesis.
  • Due diligence: The process of thoroughly understanding an investment; the checklist is a structured due diligence tool.

Summary​

The narrative-and-numbers checklist consolidates the framework into a practical tool for investment analysis. It ensures you build clarity on the story (what the company is, why it will win, how it will grow), the numbers (what the financials say about the business quality and valuation), and the alignment between them (whether the narrative is supported by the numbers or contradicted by them). Use it before you buy to ensure your case is complete. Use it quarterly to monitor whether the thesis is holding up. Use it when new information arrives to assess whether you need to update the thesis or exit. The checklist is most valuable not in the items you check off, but in the questions you can't answer—those are the gaps in your analysis, and they should reduce your conviction or increase your research effort. A disciplined approach to building and monitoring investment theses requires both the narrative storytelling skill that makes investing coherent and the numerical discipline that keeps you from buying expensive stories without profitable economics or cheap stocks without sustainable competitive positions.

Next​

Explore how investors systematically make mistakes in their analysis and forecasts: Recency bias in analyst forecasts

Stat: Portfolio managers who use formal thesis checklists report 8-12% higher risk-adjusted returns and 6-9 months earlier identification of deteriorating theses, compared to those relying on informal or incomplete processes.