Transforming sales analysis swiftly.
5 min
- The author rapidly transformed into a Data Scientist through an insightful discussion about their sales process. - They utilized data analysis to identify patterns and develop strategies for improvement in under an hour. - Key actions included tracking lost versus won deals and customizing output formats for better insights. - The experience emphasizes the importance of thoughtful data segmentation and prompt engineering.
1. Sales Manager 2. Marketing Analyst 3. Product Development Specialist
I became a Data Scientist overnight...
I was evaluating our sales process and its effectiveness. After discussing it with #chatgpt, the conversation suddenly escalated to a whole new level! 😮😮
⚠️⚠️ You may want to turn off "Chat history & training" for this ⚠️⚠️
My approach:
0️⃣ Crunch Lost & Won Data
1️⃣ Analyze deals
2️⃣ Identify key patterns in challenges, use cases & insights
3️⃣ Pinpoint areas for enhancement
4️⃣ Develop actionable strategies
Surprisingly, this entire process was completed in under an hour.
🚀 Pinpointing specific areas for our product to better align,
🚀 enhancing client engagement and service delivery,
🚀 and devising innovative strategies previously unexplored.
Compared to just me, at least a week...
Don't forget to segment your analysis for a more extensive search!
🔪 Track lost deals versus won deals
🔪 Dive into specific deal insights
🔪 Utilize qualitative, quantitative, or both types of data
🔪 Integrate with online resources
🔪 Customize output formats like MindMaps
🔪 Compile detailed reports and more
Spoiler! If you are unsure about your prompt, follow these golden rules:
💥 Act like a prompt engineer
💥 Review the following prompt [...]
💥 Optimize it to make it better
💥 Ask me any question before proceeding
🌍 This brings to mind the movie "Her", nudging us one step nearer to its reality.
Give it a go and thread together your top practices.