How I Break Down a Business Problem at Swiggy

In the fast-moving world of food delivery 🍔🚴‍♂️, problems pop up every day.
As a Business Analyst at Swiggy, solving these isn’t just about crunching numbers — it’s about structured thinking 🧠, asking the right questions ❓, and driving action 🛠️.

Here’s exactly how I break down a business problem:


1. Understand the Problem Deeply 🔍

  • I begin by getting complete clarity on the issue.
  • Example: “Order delivery times are increasing during peak hours.”
  • I don’t rush to analyze — I first gather context from teams like Operations, Customer Support, and Logistics.

2. Break the Problem into Smaller Chunks 🧩

  • Complex issues can be overwhelming. I split them into manageable parts.
  • For the delivery delay issue, I separated it into:
    • Rider Availability
    • Surge Pricing Effectiveness
    • Traffic Congestion
    • App Glitches

3. Formulate Key Questions

I define 3–5 key questions that, if answered, will lead us to the root cause.
Example:

  • Are riders available during peak time slots?
  • Is our surge pricing attracting enough delivery partners?
  • Are certain zones facing app downtime?

4. Data Collection and Validation 📊🗂️

  • I extract data from multiple sources: SQL databases, Jira, Power BI dashboards, and Slack conversations.
  • I ensure the data is clean, complete, and trustworthy before analysis.

5. Analyze and Visualize 📈🎯

  • I use Excel and Power BI to spot trends, identify bottlenecks, and create easy-to-digest visuals.
  • Example Visuals:
    • Rider-to-Order Ratio Heatmaps
    • Zone-wise Delivery Time Charts
    • Traffic Spike Graphs during Peak Hours

6. Identify Root Causes 🛠️

Through analysis, I narrow down the real reasons behind the delays:

  • Rider shortage in key zones
  • Surge pricing not aggressive enough to meet demand
  • Traffic bottlenecks post 8 PM in certain city pockets

7. Recommend Actionable Solutions 📑🛤️

A Business Analyst doesn’t just point out problems—they propose solutions.
I suggest:

  • Increase targeted incentives in high-delay zones
  • Partner with local bike rental services
  • Improve route optimization algorithms for traffic-heavy areas

8. Communicate Findings Clearly 🗣️💬

  • I summarize insights in 2–3 slides for leadership teams.
  • I tailor messaging: Business Heads want impacts, Ops Managers want actionables 🔧, Tech Teams want data points.

9. Track Post-Implementation Impact

  • Solving the problem doesn’t end at recommendation.
  • I continue to track KPIs (Delivery Time, Rider Supply, Surge Response Rate) to measure the success of the implemented changes.

🔥 A Quick Framework for Problem Breakdown:

🔢 Step🎯 Key Activity🛤️ Outcome
1Understand ProblemClear Problem Statement
2Break Into Sub-ProblemsSimpler Analysis
3Formulate Key QuestionsFocused Investigation
4Collect and Validate DataReliable Inputs for Analysis
5Analyze and VisualizeInsights and Trends
6Identify Root CausesDeep Understanding
7Recommend Actionable SolutionsPractical Fixes
8Communicate FindingsStakeholder Alignment
9Track Post-Implementation ImpactContinuous Improvement

🌟 Final Thoughts

Breaking down a business problem isn’t a linear task — it’s iterative, dynamic, and all about clarity, curiosity, and collaboration 🤝.
At Swiggy, mastering this skill has been one of the most rewarding parts of my journey as a Business Analyst.


If you enjoyed this breakdown, stay tuned for

📌 Next Up (Day 11): where I’ll explain “Why Excel is Still the King for Analysts!”


And if you’re facing your own problem-solving challenges, feel free to drop a message! Always happy to share tips 🚀💬


#️⃣
#BusinessProblemSolving, #SwiggyLife, #BusinessAnalyst, #DataDriven, #AnalyticsWithSakshamPulak, #SakshamPulak, #ProblemSolving, #BAJourney, #FoodDeliveryAnalytics, #CareerGrowth


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Hi, I’m Saksham Verma, a passionate Business Analyst at Swiggy with a deep interest in turning raw data into meaningful stories and strategies.

With hands-on experience in SQL, Python, Power BI, Tableau, Excel, and Snowflake.

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👉 Analytics with SakshamPulak

Turning data into direction.

My journey into analytics began with curiosity and evolved into a passion for solving real-world business problems.

From building dashboards at Swiggy to diving deep into data stories, I thrive at the intersection of insights, strategy, and impact. Whether it’s SQL queries or Power BI dashboards, I’m here to simplify complexity and make data work smarter.


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It’s a space for comfort food, weekend experiments, and stories that start with a pinch of spice and end with a smile.

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