Case Study Analysis Skills

🔥 During design interviews, presenting your case study can feel like a make-or-break moment. However, many designers can benefit from strengthening one essential skill: clearly communicating the impact of their work. In my latest video, I worked with Joshua McKenzie, a Senior Product Designer, to critique his case study presentation and help him elevate it to interview-ready status. The goal? Craft a compelling story that showcases his skills, approach, and outcomes 🏆. In this critique, we cover: - How to structure your case study for clarity and engagement. - The importance of pairing visuals with a strong narrative. - Why you need two versions of your case study: one to send, one to present. - How to effectively integrate data and metrics into your story. - Common presentation pitfalls (and how to avoid them). 👀 Watch the full critique and take your portfolio to the next level: https://lnkd.in/gcjxD7VJ Some key takeaways: - Structure matters: Start with a clear business problem and user challenge, then walk through your process step by step, ending with measurable outcomes. - Visuals over words: Avoid text-heavy slides—let your work speak for itself while you guide the story. - Tailor for the audience: Use a concise, visual version of your case study for live presentations and a more detailed, written version if sending out. - Leverage data: Metrics and insights show your impact and differentiate your thinking and work from others. - Practice storytelling: Your ability to communicate your work is just as important as the work itself. ✨ If you're preparing for design interviews or looking to refine your case study game, this video is packed with actionable advice to help you stand out! 💥

99.9999% of case studies I see don't address: → Empathy Way too much "Next, I did this..." Not enough "Here's why we did this..." A well-placed persona image in your study is not a substitute for genuine user understanding. Some ways you can highlight empathy: → Core Needs: Begin your narrative by highlighting the user's fundamental needs. Make their pain points the core of your story, just as you did with your designs. → Insights: Distill the core needs into your primary insights. Showcase these. They guided your design decisions. Let them guide your case study. → How Might We's: A good way to frame problem-solving based on each insight. These show the uncovered potential. → Outcomes: Shift your focus from solely what you've learned to how your solution positively affected the user. How did it make their life better? Tell the story through the user's eyes, not merely as a designer ticking off a checklist. Empathy should have guided every step of your design process. Let it guide your story, too. #ProductDesign #PortfolioTips

In my 2 years of navigating #Data_Analyst #interviews with leading product-based companies, I've decoded a consistent strategy for cracking business case study problems. Sharing here for those prepping for the big leagues: 1. Summarize the Question - First things first, echo the challenge. This not only showcases your grasp of the issue but sets the stage for your analytical journey. 2. Verify the Objective - Zoom in on what success truly means for the scenario at hand. It's like picking the right target before drawing the bow. 3. Ask Clarifying Questions - Dig deeper. Every detail can be a golden nugget in understanding the multifaceted context of the business puzzle. 4. Label the Case and Lay Out Your Structure - Identify the case type and map out your attack plan. A structured framework is your best ally in a sea of data. 5. State Your Hypothesis - Lead with an educated guess. It not only directs your subsequent analysis but also signals your critical thinking prowess. Whether you're a fresh grad or a seasoned professional, mastering these steps is key to presenting your analytical acumen in interviews. Remember, every case is unique, and flexibility is your friend. These steps are just the beginning of the conversation.Would love to hear how others approach case studies in interviews! Share your thoughts below. 👇 Follow Shakra Shamim for more such posts. #BusinessCaseStudy #InterviewPreparation #DataAnalyst

When I first applied for Data Science jobs, I kept failing the case interviews. Here’s how I eventually passed (and aced) these interviews: Case study interviews were challenging because ↳ There usually isn’t one correct answer ↳ The questions tend to be very ambiguous ↳ There are many different “styles” of case questions To get better at these interviews ↳ I prepared frameworks to use in various scenarios ↳ I learned from Product Manager interviews ↳ I practice a lot with friends and mentors ——— Let’s walk through a case study question. 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻: Our fitness app recently introduced a social feature, where you can add friends and share workout achievements. How would you quantify its impact on key company metrics? 𝗧𝗵𝗲 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 𝗜 𝘄𝗼𝘂𝗹𝗱 𝘂𝘀𝗲 𝗳𝗼𝗿 𝘁𝗵𝗶𝘀 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻: 1. Understand the motivation of building the product 2. Define key success metrics 3. Analyze the data 4. Make recommendations 𝘍𝘶𝘭𝘭 𝘢𝘯𝘴𝘸𝘦𝘳 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘵𝘵𝘢𝘤𝘩𝘦𝘥 𝘥𝘰𝘤. ——— Looking for more practice questions? I got you. 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝟮: Our e-commerce platform recently implemented a new recommendation algorithm. How would you determine if the increase in average order value over the past month is due to the new algorithm? 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝟯: We've noticed that users who engage with our app's daily challenge feature have higher retention rates. How would you assess whether this feature actually causes increased retention, or if it's just correlated with more engaged users? 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝟰: Our food delivery app introduced surge pricing during peak hours last quarter. Since then, we've seen an increase in order volume but a decrease in customer satisfaction scores. How would you analyze whether the surge pricing is directly responsible for these changes, and quantify its overall impact on our business metrics? ♻️ Did you find this helpful? If so, repost it please. 𝘗𝘚: 𝘐𝘧 𝘺𝘰𝘶’𝘳𝘦 𝘭𝘰𝘰𝘬𝘪𝘯𝘨 𝘧𝘰𝘳 𝘮𝘰𝘳𝘦 𝘋𝘢𝘵𝘢 𝘚𝘤𝘪𝘦𝘯𝘤𝘦 𝘐𝘯𝘵𝘦𝘳𝘷𝘪𝘦𝘸 𝘘𝘶𝘦𝘴𝘵𝘪𝘰𝘯𝘴 & 𝘈𝘯𝘴𝘸𝘦𝘳𝘴, 𝘤𝘩𝘦𝘤𝘬 𝘰𝘶𝘵 𝘵𝘩𝘦 𝘦𝘣𝘰𝘰𝘬 𝘵𝘩𝘢𝘵 𝘐 𝘸𝘳𝘰𝘵𝘦. 𝘓𝘪𝘯𝘬 𝘪𝘯 𝘤𝘰𝘮𝘮𝘦𝘯𝘵𝘴.

Nail the case study, and the job is 80% yours. Case study questions show up in almost every data analyst interview. They simulate real business problems — just like what you’ll deal with on the job. You’ll usually get a dataset and a broad prompt. Your job: analyze the data, structure your thinking, and recommend what to do next. You’ll see them in: * Take-home assignments * Live interviews * Timed online tests They often sound simple — but they rarely are. In many cases they sound like this: “Retention dropped 10%. Why?” “Conversion is down. What should we do?” “Did the new feature improve engagement?” So what are interviewers really testing? ✔ Can you define the real issue? ✔ Can you think in terms of business impact? ✔ Can you prioritize by ROI? ✔ Can you recommend what to do next? Here’s a 6-step approach to answer like a pro: 1.Define the problem 2.Structure the causes 3.Prioritize by ROI 4.Analyze with focus 5.Present clearly 6.Recommend action 📌 Comment if you have ANY questions and I'll answer each and every one. Save this if you’ve got interviews coming up.