At Wren AI, we believe the best products are those we use ourselves every day. This post comes from one of our very own Product Managers, who joined the team as a new hire and immediately put Wren AI to the test — not just as a builder, but as a user. What follows is a candid, first-hand account of how Wren AI helped turn a newcomer into a confident, data-driven decision maker within weeks — no SQL required. If you’ve ever wondered what it really feels like to use Wren AI from day one, this story is for you. And here we go!
As a Product Manager at Wren AI — and also a former new hire who experienced the platform from a user’s perspective — I’ve seen firsthand how our product transforms the way teams interact with data. When I first joined the company, I wasn’t just learning a new role; I was testing the product we build every day, and it genuinely made a difference in how quickly I ramped up and delivered value.
Wren AI is built around a simple idea: business intelligence should be intuitive and accessible — even for non-technical users. Whether you’re a product manager, a business analyst, or someone new to working with data, Wren AI helps you move from question to insight in minutes, without writing a single line of SQL.
When I was asked to build both a CMO Dashboard and a Hot Lost Leads Dashboard during my first few weeks, I wasn’t familiar with our data structure, nor was I comfortable writing SQL. But thanks to Wren AI’s Threads feature, I didn’t have to be.
All I had to do was ask questions in plain English — things like:
“Can you give me a chart for deal wons by quarter?”
Wren AI interpreted the question, outlined its logic, generated the SQL, and delivered the results in a clean, readable chart. While our visualizations may not be as customizable as Tableau or Power BI, they’re fast, informative, and highly effective for most decision-making scenarios.
Using Threads feels like having a conversation with your data. If the AI’s response isn’t quite right, I simply rephrase or follow up with more context. While prompts can’t be edited after submission just yet, Wren AI makes it easy to refine your query by simply asking follow-up questions or rephrasing. This conversational flow allows you to build on previous answers naturally — just like talking to a colleague. And we’re actively working on making this even smoother in the future.
That said, the overall experience is very simple without any prior knowledge required. One important learning for me as a user was the importance of metric definitions. Since definitions can vary across companies, I always reviewed the generated SQL to ensure alignment with internal logic. And when needed, I used Wren AI’s Knowledge function to define business terms or give the AI more context — making its answers even more accurate and tailored.
One of my favorite discoveries with Wren AI was when I asked it to generate a journey summary for a specific company. I wasn’t sure it could do it, since our database didn’t seem detailed enough — but it surprised me. Wren AI produced a clear, concise paragraph summarizing all past interactions with that company. It didn’t stop at data points — it told a story.
While it wasn’t yet able to suggest next-step recommendations, the accuracy and depth of the summary showed me how powerful it can be when paired with business data.
Creating the Hot Lost Leads Dashboard was a bit more complex. Wren AI doesn’t currently support pinning spreadsheets directly to the dashboard, so I used a combination of Threads and the Spreadsheet view to build and organize the necessary tables.
This dashboard included five metrics, like hot lost leads, stagnant deals, ghosted leads, forgotten MQLs, and delayed follow-ups, each with very specific definitions. Since I was new to the data, I used a step-by-step approach to generate them in Wren AI.
For example, to identify forgotten MQLs (marketing-qualified leads that were never contacted by sales), I started by asking:
“Please give me all the MQLs.”
Then: “Keep those MQLs who don’t have an owner.”
Since “owner” refers to the assigned sales rep in our data, this filtered down to the correct contacts. I then opened the result in Spreadsheet view, renamed it, and saved it for future use.
Later, I tried a more natural version of the same question:
“Show me MQLs that were never assigned to a rep.”
Wren AI understood me perfectly and returned the same accurate result. What impressed me even more was how it transparently shared its thought process behind the answer. This not only gave me confidence in the result but also allowed me to review and adjust the logic to align with our specific business definitions. That level of clarity and control made the experience feel both trustworthy and collaborative.
What sets Wren AI apart is that it doesn’t require technical skills to deliver real value. You don’t need to know SQL. You don’t need to spend time figuring out relationships between dozens of tables. Just ask your question , and the platform handles the rest.
While traditional BI tools are still great for deep visual customization, Wren AI fills a different need: speed, simplicity, and everyday usability for teams that want to act fast and stay data-driven without bottlenecks.
At Wren AI, we’re not just building a product — we’re using it ourselves, every day, to solve real business problems. Whether you’re leading a product team, managing sales operations, or exploring marketing funnel performance, Wren AI empowers you to go from raw data to actionable insight — without delay.
If you’re curious about how Wren AI can work for your team, we’d love to show you a demo. Try it out, ask a few questions, and see how quickly it becomes part of your everyday workflow.
Empower your team with Wren AI Cloud's GenBI platform. Get real-time insights, SQL, and dashboards from any database… Because with Wren AI, it really is that easy.
Supercharge Your Data with AI Today?!
