Business Case Writing

𝐋𝐞𝐭’𝐬 𝐬𝐨𝐥𝐯𝐞 𝐚 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐂𝐚𝐬𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 𝐭𝐨𝐠𝐞𝐭𝐡𝐞𝐫, If you're preparing for Data or Product Analyst roles — this is exactly the type of case round you should practice. It’s not about jumping into queries — it’s about structured thinking. 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨: You're a Data Analyst at a food delivery company like Zomato or Swiggy. In the past 15 days, there’s been a 5% drop in active customers. You’re asked: “What could be the reason behind this churn, and how would you investigate it?” 𝐒𝐭𝐞𝐩 𝟏: Clarify the Problem Before solving, ask: Does “churn” mean no orders? Or no activity at all? Is it across all users or specific cohorts (new users, Prime, etc.)? Any specific regions more impacted? These questions help you define the problem — not just guess a solution. 𝐒𝐭𝐞𝐩 𝟐: Structure Your Investigation Break down your thinking into: 🔹 Internal Factors (platform-level issues) App crashes, login issues → Check crash logs, screen exits Delivery delays → Compare SLA metrics over time Key restaurant unavailability → Partner downtime, stockouts Reduction in discounts → Drop in coupon usage or redemptions Checkout issues → Cart-to-payment funnel drop-offs 🔹 External Factors (outside control) Weather/strikes/curfews → Regional impact data Seasonality → Historical trends from previous years Competitor activity → Market-level discounts or ad campaigns 𝐒𝐭𝐞𝐩 𝟑: Go Deep on the Root Cause Let’s say the team confirms: “Yes, we reduced discount campaigns.” Now prove it with data: Analyze sessions reaching the “Apply Coupon” page Compare order completion rate before & after discount application Study cart abandonment after coupon screen Look at this metric over last 15 days vs previous months This validates the impact of discounts on churn — using real funnel data. 𝐓𝐡𝐞 𝐫𝐞𝐚𝐥 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲? Case rounds like this aren’t about correct answers. They’re about how you think, how you structure messy problems, and how well you connect business context with data. This is the exact type of round I’ve seen in companies like Zomato, Blinkit, Flipkart, Meesho, etc. So if you’re preparing — don’t stop at SQL or dashboards. Practice thinking like a business analyst. If you want more real case problems like this — drop a “Case” in comments. I’ll share a few more from my interview experience.

If looking like 40 million other job seekers is not the impression you want to make on hiring managers then it may be time to rethink your resume's career summary. It's not that career summaries are bad, it's more that they've become so generalized that they all blend in together. Let's consider a switch to a career snapshot. So what's the difference? Here's the intro to a summary: "Successful sales professional with 30 years' experience in retail..." This generic approach: - Does not answer the big 3 questions hiring managers ask in their initial scan - Focuses on generalities and years of experience that don't differentiate you - Blends in with every other qualified applicant - Wastes your 15-20 second window to grab attention Here's a career snapshot: "Award-winning chief financial officer overseeing $500M global operations expansion, saving $50M in YTD costs while increasing market share by 40%. Analyzes financial strengths and weaknesses of Fortune 500 companies and implements corrective actions to raise cash flow a minimum of 30%/year." This modern approach: - Engages readers with quantifiable achievements - Differentiates you from competitors with specific accomplishments - Highlights skills valuable to the position and company - Proves/validates what you've accomplished Here are my top 3 tips to help you write a compelling career snapshot: 1. Brainstorm Your Unique Selling Points Don't just list generic skills everyone in your field has. Identify your specific strengths, skills, and qualifications that make you different. 2. Showcase Accomplishments, Not Capabilities Instead of "Skilled in managing capital expansions," try "Managed $45M in capital expansions, raising Amelia Urgent Care from a level 2 to a level 3 trauma center in four years." The difference is dramatic—one is vague and forgettable, while the other communicates concrete value and achievement. 3. Add Power With Metrics and Results Quantify your achievements whenever possible. Numbers provide credibility and immediate visual impact: "Expanded market share 200% for more than 75 services in 15 states" "Increased year-over-year revenues 22% and reduced staff turnover rates 34%" These statistics transform you from a potential asset to a proven one. Read this article for two more tips (with examples) for how to write an impactful career snapshot: https://lnkd.in/ewHdvvzK 📌 Save this post for your next resume update. #Careers #Resumes #JobSearch

If you're an AE, here are 10 ways to punch up any executive summary. To make sure it's one your buyers will actually read, love and share: 1/ Lead with internal language referencing an exec priority. 2/ Use a two-sentence TL;DR at the top with the ask + timeline. 3/ Add a short anecdote, to create a visual that supports the data. 4/ Make sure your data points come from inside the customer's org. 5/ Whenever you add data, it's a chance to cut word count. 6/ Count the # of rewrites to your problem statement. If < 3, you've got work. 7/ Include alternative approaches that were ruled out. Always think, "Could this customer solve this problem with another category entirely?" 8/ People read headers, bold, tables, bullets and underlines. Usually in that order. If they like all that, then they'll read again from the top. 9/ Execs think in "ranges" of possibility. Use scenarios and sensitivities, not a single ROI number. 10/ Show how that range depends on what you need from them. Time, people resources, change management. Not just $ in a contract.

A strong business case for technology adoption begins with a clear understanding of stakeholder needs and evolves through strategic, financial, and communicative alignment. The first step is listening: understanding the priorities of those who will use or approve the solution. This foundation turns data and evidence into meaningful insights. Then comes strategy, where investment decisions align with organizational innovation goals. When technology supports a clear vision, it becomes easier to define measurable outcomes. Financial validation adds realism. Evaluating feasibility, risks, and expected returns transforms an idea into an actionable plan. Yet even the best analysis loses impact without effective communication. Presenting the business case through a clear narrative and storytelling techniques helps connect numbers to purpose, making complex decisions understandable across departments. In an age where digital initiatives compete for attention, the ability to articulate value with structure and clarity often determines success. #DigitalTransformation #Leadership #BusinessStrategy

Everyone says people are their organisation's greatest asset. Until budget discussions start. If I were building the business case for a people initiative today, these are the 7 things I'd focus on first. 1. Begin with the business problem, not the HR solution Most leaders aren't looking to buy “leadership development”. Or wellbeing programmes. Or culture initiatives. They're trying to solve organisational problems. · Retention. · Performance. · Productivity. · Customer experience. · Growth. The stronger the connection to a business challenge, the stronger the case becomes. 2. Understand what the organisation is already paying for: ·  High turnover. ·  Burnout. ·  Poor management. ·  Skills gaps. ·  Absence. ·  Delayed decisions. Every organisation is already paying a price somewhere. The question is whether they're measuring it. 3. Translate people data into business language HR metrics matter. But business leaders often want to know: • What is this costing us? • What risk does it reduce? • What opportunity does it create? • What happens if we do nothing? The more commercial the conversation, the more influence HR earns. 4. Focus on outcomes, not activity It's easy to describe what a programme will do. It's harder to explain what will be different afterwards. I'd want to be clear on: 💠 What do we expect leaders, managers or teams to do differently? 💠 How will we know it's working? 💠 What business impact should follow? 5. Build the case with evidence, not assumptions Good intentions rarely secure investment. Evidence does. 1.  That might be internal data. 2.  External research. 3.  Employee feedback. 4.  Customer insight. The strongest business cases bring all four together. 6. Find advocates before you need approval The best business cases are rarely won in the final meeting. They're built through conversations beforehand. I'd want leaders across the organisation to understand: • The challenge • The risk • The opportunity • Why it matters now Support is easier to secure when people already see the need. 7. Make the cost of inaction visible This is often the missing piece. Most organisations carefully calculate the investment required. Far fewer calculate the cost of standing still. Sometimes doing nothing is the most expensive option of all. Because the strongest business cases aren't really about securing budget. They're about helping organisations make better decisions about their future. I've summarised the approach into a simple one-page framework that you can use, share with colleagues, or revisit when you're preparing your next people investment proposal.

Stop asking ChatGPT to "Summarize this for me." That's lazy prompting. And you'll get surface-level summaries that miss what actually matters. If you want summaries that extract real value and actionable insights, you need to tell it what to focus on. Use these prompts instead: 1. The Action-Focused Summary "Act as a strategic analyst. Read this content and summarize only the actionable insights and practical takeaways I can implement immediately. Skip theory and background. Focus on what I can do with this information. Content: [paste text]." 2. The Executive Briefing "Create an executive summary of this content in 3 sections. (1) Key findings, (2) Critical implications for my business/work, (3) Recommended next steps. Make it concise, strategic, and decision-ready. Content: [paste text]." 3. The Learning Summary "Summarize this content as if you're teaching it to someone who needs to truly understand and retain it. Include the main concepts, why they matter, how they connect, and 2-3 examples that illustrate the key points. Content: [paste text]." 4. The Comparison Extractor "Read this content and create a summary that highlights what's new or different here, what confirms existing knowledge, what contradicts common beliefs, and what's most surprising or counterintuitive. Content: [paste text]." 5. The Problem-Solution Summary "Analyze this content and summarize it by identifying (1) What problem is being addressed, (2) What solution or approach is proposed, (3) What evidence or reasoning supports it, (4) What limitations or gaps exist. Content: [paste text]." 6. The Time-Saver Summary "Create a layered summary. Start with a one-sentence bottom line, then a 3-sentence overview, then a bullet-point breakdown of key details. Let me choose my depth based on time available. Content: [paste text]." 7. The Skeptical Summary "Act as a critical analyst. Summarize this content while also identifying unsupported claims, logical gaps, potential biases, missing perspectives, and questions that remain unanswered. Give me both the message and the evaluation. Content: [paste text]." P.S. ~ For more updates like this: 1. Scroll to the top 2. Click "View my newsletter" 3. Subscribe, and you'll never miss a thing in the world of AI ever again. (Thousands have joined already.)

How to Conduct an Industry Analysis: A Structured Framework Industry analysis is a critical part of understanding market dynamics and making informed decisions. Here’s a step-by-step framework to get you started: 1️⃣ Define the Industry • What to Do: Clearly identify the industry scope, including its products, services, and target audience. • Key Questions: • What is the size of the industry? • What sub-segments exist? • Example: The “electric vehicle” industry includes cars, two-wheelers, and charging infrastructure. 2️⃣ Analyze Market Trends • What to Do: Study past and current trends to predict future opportunities and challenges. • Key Insights: • Growth rate (CAGR). • Demand drivers (e.g., technology adoption, demographics). • Example: Rising demand for renewable energy driving solar panel adoption. 3️⃣ Understand Competitive Landscape • What to Do: Identify key players and evaluate their strengths and weaknesses. • Tools to Use: • SWOT analysis. • Market share data. • Example: In the FMCG sector, large players like Company A dominate, but startups are capturing niche markets. 4️⃣ Study Regulatory and Economic Factors • What to Do: Assess how regulations, government policies, and economic conditions impact the industry. • Key Questions: • Are there strict compliance requirements? • How does inflation or currency fluctuation affect the industry? • Example: Cryptocurrency regulations affecting fintech growth. 5️⃣ Apply Porter’s Five Forces • What to Do: Evaluate the competitive intensity and profitability potential. • Threat of new entrants: How easy is it for others to enter? • Bargaining power of buyers: Do customers hold the power? • Bargaining power of suppliers: How dependent is the industry on suppliers? • Threat of substitutes: Are alternatives easily available? • Industry rivalry: How fierce is the competition? 6️⃣ Identify Key Metrics and KPIs • What to Do: Track important industry-specific metrics to assess performance. • Example KPIs: • Retail: Same-store sales growth. • SaaS: Monthly recurring revenue (MRR). 7️⃣ Summarize Key Findings • What to Do: Create a clear, concise report summarizing opportunities, threats, and strategic recommendations. Which part of industry analysis do you find most challenging? Let’s discuss below! 👇 This is about learners like YOU and ME—no experts here, just people learning together and sharing insights. Let’s grow together! 🚀 Follow me Het Parekh for more such posts. #Finance #Investmentbanking #LinkedIn

Writing an executive summary is a necessary skill for every designer. I’ve seen countless links to dozens of art boards, deep dives into processes, and click-through prototypes, often without a clear introduction on the ‘why’. For someone outside of the workstream, this can be an overwhelming amount of information to digest in a short period of time. While it may sometimes be done with good intentions, it’s equally important that the information lands correctly. Think of executive summaries as a pitch for a project. They are often the first one or two paragraphs or set of bullet points someone reads before digging into the rest of the content. People are busy, and as much as you’d like to assume the audience will have the necessary context, it’s better to set up the information upfront rather than having to answer the same questions repeatedly. Here’s a good starting point: 1. Define the problem 2. Explain the opportunity/value proposition and audience. 3. Summarize key findings related to the problem (ideally top 3) 4. Outline what success looks like and how it’s measured 5. State what you’re going to do about it (what is the plan and timing) With the above in place, take stock of your work. You might observe: 🫣 It’s not present 🧐 The information may be present but obscured or scattered about. 😳 You don’t have clarity on the five points I outlined above If any of the above is true then you might want to reconsider sharing your work and run it back with your direct working team to align/define these things. Your audience will thank you for it (in good feedback and buy-in).

I have read so many papers, but when I sit down to write, I don’t know what to do with my notes. A mentee told me something that many PhDs and Master's students quietly struggle with because the notes were never taken in a way that could later help them write. Many research students read papers like this: Highlight everything that sounds important. Copy a few interesting sentences. Save the PDF. Move to the next paper. Repeat. After a few weeks, they have 40 papers, 200 highlights, and no clear argument. That is not note-taking. That is collecting. And collecting notes is very different from building a literature review. This is why I often tell my mentees: Do not use one note-taking method for everything. Use the method that matches the stage of your reading. If you are reading a paper for the first time, use annotation notes. Highlight key ideas, methods, findings, and limitations directly on the paper. This helps you stay active while reading. ✅ If you want a short structured summary, use Cornell notes. Divide your page into cues, detailed notes, and a final summary. This forces you to capture both detail and meaning. ✅If you are reviewing many papers, use a literature matrix. Create columns for author, year, method, sample, findings, limitations, and research gap. This is one of the most useful tools for comparing studies. ✅If you are trying to understand relationships between ideas, use a mind map or concept map. This helps you see how themes, variables, theories, and findings connect across papers. ✅If you want to build your own thinking over time, use linked notes or Zettelkasten-style notes. Write one idea per note, then connect it with related ideas. This is especially useful when your literature review needs a strong argument, not just a summary. ✅If you are ready to draft the chapter, use thematic notes. Group your notes by themes such as methods, findings, barriers, outcomes, theories, or gaps. This helps you move from “paper-by-paper summary” to an actual literature review. When your notes are organised only by paper, your writing often becomes descriptive. But when your notes are organised by argument, theme, and gap, your writing becomes analytical. Do not just collect notes. Organise them so they help you write. Save this if you are currently working on your literature review. And REPOST it with a PhD or post grad who has too many highlights and not enough usable notes. PS: What is your most used approach to note taking in research? Share in the comments Follow Dr Priya Singh, Founder Research Made Clear for more research guidance. Subscribe to my YouTube channel for help with research topics, step-by-step AI tutorials, and quick productivity tips: https://lnkd.in/eSBGiCz8

Over 90% of the resumes I have reviewed underutilize this section of their resume Surprising fact: Most people treat the Summary section like filler. ❌ A random list of tools. ❌ Generic soft skills. ❌ No strategy. And that’s a huge missed opportunity. Because when used right, this section becomes your personal pitch. Here’s how to turn it into a power-packed headline: ⸻ 🔁 Don’t Do This: 🔴 “Motivated team player with strong communication skills. Proficient in Excel, SPSS, and multitasking.” This tells me nothing about who you are, what you do, or where you’re headed. ⸻ ✅ Do This Instead: Personal Summary Example 1 Public health analyst with 3 years of experience translating health equity research into actionable community programs. Skilled in data storytelling, stakeholder engagement, and program evaluation. Passionate about using policy to close health gaps. ⸻ ✅ Personal Summary Example 2 (for Students or Early Career) MPH candidate with a background in behavioral science and a strong focus on social determinants of health. Experienced in survey design, SPSS analysis, and community engagement. Committed to advancing equity through data-informed strategy. ⸻ 📌 Quick Formula: → Who you are → What you’ve done (and how) → What you care about / where you’re going Think of it like your LinkedIn headline but with more context and confidence. ⸻ ♻️ Repost to help others rewrite their “filler” section into a feature. 🔔 Follow for more expert-level resume and career content. #resumetips #MPH #publichealthcareers #gradschool #careerstrategy #LinkedInGrowth