Become a data analysis master with AI 🤓

Analyze full datasets and generate charts and dashboards from AI conversations.

Thank you for reading The Product Courier.
We’re 1,685 here, which is 118 more than last month! 🙏🏻

If you're new here, welcome!
I’m Toni, I help B2B companies launch products people want to buy, through Product growth strategies and allbound Go-to-market tactics.
👉🏻 Happy to connect on Linkedin.

With Lucas, my fellow Product Marketing Freelancer who helps early-stage startups, we share actionable tips to help you deliver better work and speed up your career, by leveraging A.I. and other tools.

---

In this 30th edition, I will share some thoughts on AI automation, and I will show you how you can now become a master of Data Analysis and generate tons of insightful charts for your stakeholders from a simple AI conversation.

---

News of the week. 📰

Google’s Jarvis - the rise of the machines is near.

Google will release Project Jarvis soon - its AI Chrome using agent.

Google is reportedly about to release their “AI computer using agent”.
The“Project Jarvis” marks a significant shift in AI development, moving from conversation to action.

The new AI assistant, powered by an advanced version of Gemini AI, promises to handle complex web tasks autonomously - from research to purchases, all through natural language commands in Chrome.

This news comes a few days after Anthropic released Claude's “computer use”, which Lucas talked about last week.

Why it matters

When coaching product teams and founders, I often hear the same pain points:

"I spend too much time on repetitive tasks."

The AI landscape is changing rapidly.
Last week, Lucas shared how Anthropic introduced Claude's “computer use”.
Now Google joins the race with Jarvis, while Apple is rolling out the first version of Apple Intelligence with iOS 18.1.

This shows the direction for AI and the next milestone: work automation.

Traditional automation tools like Zapier or Make require technical setup and maintenance. The learning curve is still steep for most people.

The new wave of AI assistants aims to eliminate this barrier:

• Speak your needs naturally

• AI understands and executes complex workflows

• No coding or configuration required

This will allow you to:

• Research competitors across multiple websites

• Organize data from various sources

• Manage documentation and reporting

The AI automation assistants will excel at:

• Handling repetitive tasks

• Gathering and organizing information

• Executing predefined workflows

Key Takeaway:

We're moving from AI that can talk about tasks to AI that can perform them. Automating computer tasks appears as the next major step for AI.

“Work smarter, not harder” becomes even more relevant with these tools.

Let AI handle the mundane repetitive tasks and routine while we focus on what matters most: creativity, strategy, and human connection.

---

You want to share your software or your upcoming even with our community?

Become a sponsor of The Product Courier, like Scaleway or Klue before you.
Contact us and book a slot for upcoming newsletters.

---

Community Polls. 📊

---

Your weekly tutorial. 🧰

Become a data analysis master with AI 🤓

"Without data, you're just another person with an opinion."
Edwards Deming

✅ Data is key if you want to validate decisions and lead a product strategy
✅ But it requires specific hard skills that many PMs do not have.
✅ AI helps you run tailored analyses on your data from simple conversations.

---

Why data matters for product management. 🔑

Let's face it: in 2024, being a successful PM requires being comfortable with data.

Gone are the days when gut feelings and HiPPO decisions (Highest Paid Person's Opinion) ruled product development.
…Well, I know it’s still not the case everywhere…But it should.😅

• 78% of high-performing product organizations report using data analytics for decision-making. (McKinsey)

• Product teams that use data to inform decisions are 5x more likely to report successful product launches. (McKinsey)

And data mastery has grown into a highly needed skill:

• Data analysis is listed as the #3 most desired skill by hiring managers for PMs. (Product School)

• Yet, “Only 31% of PMs say they feel "very confident" in their data analysis skills.” (Mixpanel)

But what are the benefits of analyzing Data for PMs? 💪

Leveraging and analyzing data gives you valuable insights to build better products and understand your customers.
It is a very powerful lever to justify your choices and push decisions to your stakeholders, based on hard evidence and numbers, not mere intuition.

Data analysis helps with:

✅ Better decision-making.
✅ User understanding.
✅ Resource optimization.
✅ Growth acceleration.

---

The old way: a PM's data nightmare 😫

Let me paint you a picture of the typical PM's data journey and you tell me if it sounds familiar:

1. You wait for days/weeks to get the info from the data teams🕒

2. You spend hours working on Excel sheets and formulas 📊

3. Your stakeholders keep asking for updates and question your results 🕺

4. You end up with obsolete data or conflicting data sources 🤯

As a result, you often skip data analysis or provide the most basic information and results, not taking advantage of data in your Product work.

---

Enter A.I. to the rescue 📊

Data is the foundation of Generative A.I. models.
Large Language Models are great at analyzing and summarizing data.
But until ChatGPT 4o, it was not easy to extract data from dataset files (like CSV).

ChatGPT 4o opened new possibilities, with its ability to analyze and edit CSV datasets and generate charts. Read our detailed article to learn more.

Get your own AI Data Analyst for free

However, ChatGPT quickly shows its limitations regarding larger datasets and deeper analysis. It is good for small datasets and often returns errors.

But I just tried a new AI feature that makes data analysis easier than easier.

Now I can :

• Analyze large datasets and multiple files at once

• Create and tailor all sorts of charts for dataviz.

• Generate complete dashboards that can be shared with stakeholders.

Here are a few tasks I used this for:

• Analyze outreach campaigns and A/B and review performance.

• Understand user engagement on buska and look for areas to improve.

• Review my social content to identify patterns and focus on the best-performing topics.

Let me show you in detail how it works and what you can do with it, through a concrete example with a Mobile Usage Dataset.

Anthropic introduced their analysis tool on October, 24th, 2024, a built-in feature for Claude.ai.

It enables Claude to write and run JavaScript code, process data, conduct analysis, and produce real-time insights.
It provides much more accurate results for data analysis than before.

1️⃣ How to use the analysis tool-101 📊

1. Go to Claude.ai

2. In the settings select “Feature Preview”.

3. Activate the Analysis tool toggle.

   

4. Upload your data: just drag and drop your CSV files.

5. Ask questions: In plain English, like you're chatting with your data team.

6. Get instant analysis: Complete with visualizations and actionable insights.

Pretty simple setup, straightforward as you can see. Now, let’s dive in a little deeper with examples.

---

2️⃣ Analyze large datasets 📂

We'll use a dataset with 700 samples of Mobile Data usage containing:

App usage time / Screen-on time / Battery drain / User demographics // Device information / Data consumption patterns

1. Upload the dataset to Claude.

2. Copy and paste my “data analyst prompt” below.