Financial Modeling Fundamentals

I've reviewed hundreds of financial models across 100+ clients. Most of them fail in the first 30 seconds. https://lnkd.in/eHYUr9Jc The numbers might be fine. But I open the file and see 47 tabs with names like "Sheet2_final_v3" and I already know what I'm dealing with. Assumptions buried in random cells. No flow. No structure. If I can't follow your model, nobody else will either. This is the same 9-part structure I use at my firm and teach to every fractional CFO I work with. → Drivers TabThis is the most important tab in your entire model. One place for every assumption. Revenue growth, headcount, tax rates. Change one input and the entire model updates. No hunting through tabs. → Source Data TabsRaw exports from QBO or your ERP. Keep them separate from your calculations. One formula pulls from here to populate everything else. → Error Check TabValidates that data made it from source to destination. Assets equal liabilities plus equity. Revenue ties across statements. Green means fine, red means stop. → Instructions TabMost people skip this. Don't. Which cells are editable, which tabs are read-only, what each color means. Your model will get passed around. Make it easy to audit. → Three Financial StatementsIncome statement, balance sheet, cash flow. All pulling from the drivers tab. Historicals and projections in one place. → Revenue TabYour most important forecast. Build it separately, link it back to drivers. Every business is different here, but the connection to the model stays the same. → Headcount TabYour largest expense needs its own schedule. Start dates, salaries, departments, prorated amounts. One mistake here and your cash forecast is off by six figures. → Balance Sheet SchedulesAR, AP, CapEx, debt. Waterfalls that show how balances move over time. These connect your P&L to your cash flow. → DashboardsThe view your board actually sees. KPIs, summary financials, budget vs actual. Everything else feeds into this. You can build your own following this structure, or grab a free template here: https://lnkd.in/eHYUr9Jc What does your model structure look like?

There are so many ways to build dashboards in Excel. Turning those dashboards into web apps gives users a live window into data without exposing the underlying workbook. Many professionals build dashboards in Excel to monitor KPIs, performance, or team activity. The spreadsheet layer is powerful: charts, formulas, formatting, and filters all work together to provide real-time insight. But sharing those dashboards often means emailing files, managing version chaos, or exposing data you’d rather keep hidden. Here’s how to build a focused dashboard in Excel — and how Sheetcast can help turn that dashboard into a secure web app without rework. In Excel: Build a responsive dashboard layout. ·    1. Design your workbook with a dedicated Dashboard sheet. Use formulas like =SUMIFS() or =AVERAGEIFS() to summarize key metrics from your data. ·    2. Add Excel charts (e.g., column, line, pie) linked to summary cells. Use slicers or dropdowns for filters. ·    3. Use named ranges (via Formulas > Name Manager) to create reusable metrics like SalesLastMonth or OpenTickets. ·    4. Apply conditional formatting to visually flag trends — for example, highlight cells with =B2>B1 to indicate improvement. ·    5. Add Pivot Tables and Charts to provide a more interactive and flexible view of the data. ·    6. Protect the dashboard sheet to prevent accidental edits while allowing dynamic updates. ·    7. Use =NOW() or =TODAY() to timestamp the dashboard. ·    8. Export and share snapshots as a view-only PDF and charts manually for reporting. This method works — but manual sharing and version control are ongoing burdens, and user-specific filters or permissions require duplicating the file. With Sheetcast: Turn your Excel dashboard into a live web app. Start with your existing workbook, then: ·    1. Upload your file to Sheetcast and create a Layout Container Page for your dashboard. Add the different pages/views to this as you create them. ·    2. Use Filter and Slicer Pages to allow real-time filtering of the dashboard by region, status, or timeframe. ·    3. Create List Pages and add Item Templates to cleanly present summaries of records. ·    4. Combine Solo Forms and Report Pages to create dynamic projection tools. ·    5. Transform your Pivot Tables and Charts with the Pivot Explorer Page to make them interactable from the web and choose the level of data security you’d like to apply. ·    6. Add a Tabs Container to group multiple dashboard views (e.g., Overview, Department, History) into a single interface. ·    7. Apply permissions when you share pages, so users only see the data and charts they’re authorized to view. No need to split files. ·    8. Embed the dashboard in your intranet or portal using the HTML code created for you when you share the app. The result: dashboards that stay live, secure, and personalized — all powered by Excel, without file sprawl.

Instead of excel, we used a Claude model on Cursor to build our financial model for our pro ⚽️ team. Here's how we did it... Three days earlier, this dashboard was: - an Excel file with color-coded tabs - three league benchmark reports as PDFs - a screenshot of P&L data someone texted me Here’s the exact workflow that got me from messy inputs → interactive web dashboard. 1) Make the data readable (for machines, not humans) Excel looks clean to people, but it’s crap under the hood: merged cells, hidden formulas, multiple sheets, inconsistent structures. So I started by exporting each sheet to CSV (takes ~5 minutes). Why: AI tools are great at CSV. They often struggle with raw Excel. 2) Extract PDFs + images into structured data (with a schema first) The league data was locked inside PDFs, and the P&L screenshot had the benchmarks I needed. The trick isn’t extract the data. It’s: define the output structure upfront. Instead of vague prompts, I used prompts like: “Here are the exact field names I want” “Here’s how I want it nested” “Here’s how to label each column” Result: * Screenshot → league revenue/expense benchmarks * PDFs → ticketing metrics, partnership data, product revenue by cluster * 9 clean JSON files after spot-checking against the originals * ~1 hour total 3) Build the product in Cursor (and actually read the output) This is the part people misunderstand about “building with AI.” It’s not one prompt and done. It’s a conversation + iteration. Cursor can see your whole project, so the first pass gets you ~70%: layout, charts, data flow. But the real acceleration comes from quick iterations where you catch things like: * a growth rate compounding wrong * scenario sliders breaking at 0 utilization * tooltips showing raw numbers instead of formatted currency Each fix is fast…if you actually look. The people who get bad results from these tools are the ones who never read what the tool produced. What the dashboard includes * Overview page * Revenue + expense breakdowns (with league comparisons) * Benchmarks page vs real league quartile data * Scenario modeler: 8 sliders that recalc a full 5-year pro forma live * Shareable by URL (works on a phone) Why this matters Try doing this in Excel: * normalize 3 PDFs + 1 image * build interactive drill-down charts * add a live scenario engine * make it shareable and robust across machines That’s weeks! And you still end up emailing around a spreadsheet nobody wants to open. This took a day. It’s a web app, easy to extend, and nobody on the team needs Excel to use it. The workflow (copy/paste) 1) Spreadsheets → CSV (always convert first) 2) PDFs + images → structured JSON via AI (define schema upfront, spot-check) 3) JSON/CSV → product in Cursor (be specific, read the code, test edge cases, iterate) If you’re building anything data-heavy (finance, ops, dashboards), this workflow is a cheat code. Comment "pro soccer Mass" and I'll share the prompt format Mass Rising used.

I see agency owners who track 47 metrics across 6 different tools. They'll check Stripe, HubSpot, their project management software, Google Analytics, their CRM, and Slack notifications. By 10 AM, they've spent 90 minutes just figuring out where their business stands. I used to do the same thing. Then I built a CEO dashboard with 6 numbers. Here's what I track every single day: - Revenue collected this month - Number of active clients - Pipeline value (deals in progress) - Team capacity (who's at max, who has bandwidth) - Client satisfaction score (from monthly feedback forms) - Profit margin Takes me 3 minutes to review each morning. I know exactly where the business stands before my first coffee. If revenue is down, I look at pipeline and know whether it's a sales problem or a delivery problem. If client satisfaction drops, I check team capacity to see if we're overloaded. If profit margin shrinks, I know someone's pay structure needs adjustment or we're overspending on tools. Everything connects. Here's how to build your dashboard in the next 30 minutes: Step 1 - Open Google Sheets or Notion Create a single page with six boxes, one for each number. Step 2 - Pull your revenue number from Stripe Login to Stripe, go to reports, filter by current month, copy the total collected amount into your dashboard. Step 3 - Count your active clients Go to your CRM or project management tool, filter by active status, count them, add that number to your dashboard. Step 4 - Calculate your pipeline value Open your CRM, filter deals by "in progress" or "proposal sent," add up the total contract values, put that in your dashboard. Step 5 - Check team capacity Ask each team member what percentage of their workload they're currently at. 80% or higher means they're at max. Under 60% means they have bandwidth. Add this to your dashboard. Step 6 - Get your client satisfaction score Send a monthly TypeForm or Google Form asking clients to rate their satisfaction 1 to 10. Average the responses and add that number to your dashboard. Step 7 - Calculate profit margin Take your monthly revenue, subtract all expenses, divide by revenue, multiply by 100. That's your profit margin percentage. Add it to your dashboard. Now bookmark that page and open it every single morning. Update each number once per day or once per week depending on how fast your business moves. If a number drops, you know exactly where to focus. Everything other number is just a distraction.

Ever open an FP&A dashboard and think: “Okay… where should I actually look first?” That’s a design problem. Good dashboards don’t make people search for insights. They highlight them automatically. And one of the easiest ways to do this in Excel is dynamic conditional formatting with formulas. Most people use conditional formatting like this: • Highlight cells > 0 • Highlight cells < target Useful. But pretty basic. FP&A dashboards get much smarter when formatting is tied to real business logic. Example: Let’s say your table looks like this: Actual | Budget | Variance Instead of highlighting every negative variance, use a formula like: =ABS((B2-C2)/C2)>0.05 Now Excel only highlights KPIs when the variance exceeds 5%. This avoids clutter and focuses attention on what actually matters. You can take it further: =AND(B2<C2, D2="Revenue") Now only underperforming revenue metrics get flagged. This is where Excel starts acting less like a spreadsheet… …and more like a decision-support tool. Some practical FP&A uses: • Highlight KPIs missing forecast targets • Flag expenses growing faster than plan • Identify products with declining margins • Surface operational metrics breaching thresholds The real win? Executives instantly know where to focus. No hunting through numbers. Quick question for other FP&A folks: Do you build dashboards that highlight issues automatically, or do stakeholders still have to scan the numbers themselves? Curious how different teams approach this. A big part of my work is helping finance teams design Excel dashboards that communicate performance clearly—often using tricks like formula-based conditional formatting to guide decision-making.

Most dashboards don’t measure what actually drives performance. And that’s why many companies make decisions too late. If your finance dashboard isn’t driving real-time action, your team is probably drowning in data, but not necessarily moving the business forward. Here’s how to build KPIs and dashboards that actually drive results. 1. Identify the Right KPI Categories Great finance dashboards don’t drown in data, they focus on what matters across five key dimensions: - Financial performance: Revenue growth, EBITDA margin, CCC - Operational efficiency: Gross margin, inventory turnover, AR/AP turnover - Risk & liquidity: Current ratio, working capital, debt-to-equity - Strategic performance: ROI, market share, customer retention - Sustainability: Energy efficiency, waste reduction, carbon footprint This structure ensures visibility across short-term liquidity, operational throughput, and long-term value creation. 2. Align KPIs with Strategy Every metric should connect directly to a business goal. - A SaaS CFO tracks MRR and churn. - A manufacturing CFO tracks throughput yield and supply chain cost. Strategic alignment turns dashboards from reports into decision systems. 3. Design a Multi-Layered Dashboard - Executive view: Profit trend, cash flow, liquidity - Operational view: Efficiency, cost, utilization - Analytical view: Variance and root cause analysis Each layer should show what happened, why it happened, and what could happen next. 4. Integrate Your Data Systems Centralize your data through ERP, accounting, CRM, HR, and supply chain. Use platforms like Power BI, Tableau, or Looker for real-time visibility. - Key principles: APIs, automation, role-based access, and audit trails. - Trust in the data = confidence in boardroom discussions. 5. Build, Visualize, and Communicate. Control the financial narrative. Dashboards should tell a story. - Waterfall charts → cash flow trends - Treemaps → expense or revenue breakdown - Tiles & traffic lights → performance vs. thresholds Every visualization should connect results to action. 6. Continuously Evolve Treat your dashboard as a living management system. - Review. Benchmark. Refine. - Involve your finance and strategy teams to keep KPIs aligned This framework blends financial precision with operational insight. Bottom line: A great finance dashboard doesn’t just measure performance, it drives it. How does your finance dashboard drive performance?