In episode 12 of The Right Track, Stefania Olafsdottir speaks with Emilie Schario of Amplify Partners. Together they discuss impact-driven development, actionable tactics for prioritizing relationships within data teams, the quandary of data job titles, and insights on improving data trust.

In episode 11 of The Right Track, Stef Olafsdottir speaks with Che Sharma, CEO and Founder of Eppo. This conversation includes many unique insights from Che’s experience scaling Airbnb’s early data culture, as well as lessons on leading data teams, defining a good North Star metric, and leveraging experimentation tools.

In episode 10 of The Right Track, Stef speaks with Boris Jabes, CEO and Co-Founder of Census. They discuss the impact of SaaS on product releases, the challenges of stale data, insights on data ownership and how product management has evolved.

In episode 9 of The Right Track, Stef speaks with Erik Bernhardsson, founder of Modal Labs and an early engineer at Spotify. This conversation covers cohort analysis, data team recruiting, and Erik's experiences building and refining data cultures.

In episode 8 of The Right Track, Stef speaks with Josh Wills of WeaveGrid. They address common misconceptions about data and product analytics, tips for hiring data product managers, and many invaluable lessons Josh has learned from his time at companies like Slack, Google, and Cloudera.

In episode 7 of The Right Track, Stef speaks with Benn Stancil of Mode. They discuss the value of analytics for the end user, the emerging role of analytics engineer, building and maintaining data trust, and tactics for optimizing data teams.

In episode 6 of The Right Track, Stef Olafsdottir speaks with Laurie Voss of Netlify. They discuss the roles in modern data teams, how Netlify uses data, insights on early data hires, and whether or not self-serve analytics will ever work.

In episode 5 of The Right Track, Stef is joined by Elena Dyachkova of Peloton. They discuss the intersection of fitness and data, as well as the tools Peloton uses for data management, governance, and analytics.