User Research

**The Data-Driven Brand: Using Analytics to Shape Perception** Can you use analytics to improve tacos? This being CBUSDAW, we think the answer is probably “yes”, but we’re not sure how to implement or test this theory. For our April meetup we’ve got Sara Kear, CMO of Condado Tacos, to investigate this delicious question. Sara will explore how she blends quantitative data and qualitative customer feedback to shape brand positioning and drive business decisions. We all know that marketing and analytics go way beyond attribution. Sara will show how Condado uses customer insights to inform product and pricing strategy. She’ll also highlight how Condado leverages customer feedback at scale to influence operational priorities, positioning marketing as the voice of the customer across the organization. In the last 12 years Condado has gone from one location in Columbus to 52 locations across 10 states, so we’re guessing there’s more to that growth than really good guac (though the guac probably helps). Ultimately, this talk focuses on the intersection of art and science—using data to inform creativity and build a brand that resonates with customers in a measurable way. **About Our Speaker** Sara Kear is Chief Marketing Officer at Condado Tacos, where she oversees brand, restaurant design, menu and pricing strategy, off-premise including catering, and customer data strategy. Since joining in 2021, she has helped grow the brand from 19 to 52 locations while building a data-driven marketing organization focused on loyalty and customer insights. Condado has since been named to the Inc. 5000, recognized as Breakout Retailer by Chain Store Age, and consistently ranked among FastCasual’s Top 100 Movers & Shakers. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

Rev. Steven Clevenger is an ordained spiritualist minister with over 40 years experience as a Spiritual Healer, Clairvoyant and Spiritual Teacher, educated and trained at the White Lily Chapel. Rev. Siobhan Wolf Shaffer is an ordained spiritualist minister and certified medium and healer with over 20 years experience. She began her development in 1988 in Pennsylvania and continued when she moved to Ohio in 1998 where she studied at Rays of Lights Church with Rev. Steven Clevenger. Our full worship services consist of an inspirational lecture, healing meditation, and messages from the spirit world that serve to demonstrate evidence of eternal life. Please visit our Official Church Website (http://raysoflightchurch.com) for more information.

**First meetup of the Columbus AI Engineering group.** We’ll kick things off with a practical, beginner-friendly discussion on: **How LLMs like ChatGPT actually work — and how to build real applications with them.** We’ll cover: * what’s actually happening under the hood (at a high level) * why LLMs behave the way they do (hallucinations, prompt sensitivity, etc.) * how people are building real systems with them today * where things break in practice This will be a **short, informal talk (\~15–20 min)** followed by open discussion and Q&A. Whether you’re an engineer, builder, or just curious about how modern AI systems work, you’re welcome to join. No slides, no fluff — just real conversation about real systems. We’ll hang out afterward and get to know each other.

**We'll have two meetings covering AI - this second one is for Positron** We will review which AI features are linked in for Positron, and how to use them. **Location:** The meetup will be at SPARK's ([https://annarborusa.org/](https://annarborusa.org/)) Ann Arbor site: [SPARK HQ (Ann Arbor)](https://urldefense.com/v3/__https://www.google.com/maps/place/Ann*Arbor*SPARK*Headquarters/@42.2792515,-83.7447708,17z/data=!3m1!4b1!4m5!3m4!1s0x883cae3effe193cb:0x5296a53db2a282bf!8m2!3d42.2792515!4d-83.7447708?hl=en-US__;Kysr!!HXCxUKc!3EEdBNXRJKknP6LCGkZetSuEsdtChFojQnOVitFUC5C0fyilqXEbiMstT9ajBR3Cw-55qoFkrElCjQvjMdTxUw$). There is on street parking, and parking at local structures. **This will be a hybrid meeting - the Zoom session starts at 6:30 PM.** **Time:** The doors will be open at 6:00, with pizza and beverages provided. We will have a meet-and-greet-and-pizza session, and then at 6:30 we'll have a presentation. **Zoom information:** https://us06web.zoom.us/j/86862937929?pwd=woa95D1r85dobjqxQ07NfBLNdTa9hc.1 Passcode: 705462 **If you can't get in, please call me at: 734 223-3307** **Document source:**

Central Ohio Radio Enthusiasts—CORE—is an informal community for anyone enthusiastic or curious about radio—whether you're new to radio and want to learn or you've been tinkering for years and want to share. Ham radio operators, GMRS users, Meshtastic fans, software-defined radio nerds, makers, and technical and non-technical folks are all welcome. No experience required or expected. This month we have **WiFi HaLow: Introduction and Practical Use** with **Alex Barbur**. Details are are [core.radio](https://core.radio).

This trail is a meandering path through the woods. There will be some overlooks and a couple stops at the creek as well as time along a waterway. It will not be a fast paced hike. There is some elevation change and uneven terrain. I will be using poles just to be safe! Will aim to get in about three miles. Optional lunch after if there is an interest.

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.