In this episode, Gabrielle Merite speaks about her journey in building a collaborative, team-oriented creative agency.

If you present an idea to your client and ask, "So, what do you think?" then you likely know what follows: non-specific and confusing feedback! What should you say instead? We share how we present ideas to clients and how to get the best feedback!

In this episode, we share how we approach a creative project, where we find inspiration, and what we do when we get stuck!

Curious about the process of writing a book? Alli Torban shares her experience, including: What's included in a book proposal, how advances and royalties work, what was harder/easier than expected, and much more!! Buy her new book here: https://www.chartsparkbook.com

In this episode, we share how we each approach goal setting for the new year, how 2023 went, and what our goals are for 2024!

Do you want to create a dataviz personal project but not sure what topic to use? Is it holding you back from starting?! In this episode, we'll share what topics we've used in the past that have worked, and tips for finding a good topic for you to start with!

If you were going to take a break from “serious” work to work on something just because it would be really interesting, what would you do?

We take you on board with our daily routine in this episode. We talk coffee, early workout and late design sessions but also little tips & tricks we use to maintain a clear schedule.

We speak often about design considerations to make a good dataviz, what about the ethics of it? In this episode, we talk about considering context, people behind the data, data ownership, bothsideism and more...

Dirty data: common problems we encounter when we get a dataset and how we deal with it.

In this episode, we share a candid look into our careers and growth in the dataviz field. How did we start out, how did things change unexpectedly, and do we see ourselves evolving out of the dataviz space?!

Are you struggling to figure out how to price your dataviz services? It can be overwhelming with so many pricing models to choose from. We'll talk about our experiences and the advantages and disadvantages of different models.

In this episode, we share how you can effectively pitch a data-driven story to a news outlet! We cover what to include, who to send it to, and what kind of response you can expect. We also touch on how a project and book proposal compare!

In this episode, we discuss what you can start doing TODAY to prepare yourself for a jump to freelancing (from being a full-time employee). We each share what we're glad we did before jumping, and what we wish we had done!

In this week's episode of the Elevate Dataviz Show, we're rounding up 2022 - talking about what we've learnt this year and what we're looking forward to in 2023.

In this episode, we discuss emotion in dataviz. Should you use it? When and how do you use it?

In this week's episode of the Elevate Dataviz Show, we share our personal dataviz and freelance habits and rituals.

In this week's episode of the Elevate Dataviz Show, we share our top tips to building a portfolio of dataviz projects when you don't have an employer or clients! Should you do a personal project or reach out to a non-profit? Should you work for free? We share what worked for us and more.

In this episode, we explore the merits of dataviz awards. What value do they bring? What are the pitfalls? What's a good alternative?

In this episode, we explore what we call ourselves (dataviz designer? dataviz engineer? information design specialist??) and why it matters. This topic was inspired by Zan Armstrong's slack post, and she joins us on the show today to share her perspective.

In this episode, Gabby and Alli share what they're experimenting with right now and how they're integrating it into their work.

Welcome to the inaugural episode of the Elevate Dataviz Show featuring Alli Torban, Duncan Geere, Gabrielle Merite, and Will Chase. In this episode, we share what we're experimenting with right now and how we're integrating it into our dataviz practice.