Terac is an AI‑native research platform that sources participants, conducts human‑like interviews at scale, analyzes results, and pays out participants - delivering actionable insights in hours, not weeks. Backed by Emergence Capital.
About the role
Discuss how your architecture firm transforms messy operational data into structured evaluations. Walk us through your day-to-day data management and post-training workflows.
More about this role
We're running a paid study on data structuring practices within architecture firms. Transforming messy operational data into clean evaluations and structured formats is critical for post-training workflows. Help us evaluate the current methodologies and challenges teams face when organizing this specialized architectural data.
You will participate in a remote video interview to discuss how your firm handles operational data. We will ask you to walk us through the end-to-end process of turning unstructured architectural data into usable evaluations. You will be shown a few hypothetical data transformation scenarios and asked to provide feedback on potential workflow improvements. We will also ask you to describe the specific tools and practices your team relies on for post-training data management.
We are looking for operations specialists, data managers, and technical architects who handle operational data within architecture firms. We welcome data operations leads, BIM managers, and internal workflow specialists with direct experience in post-training evaluations. If you regularly wrangle messy firm data into structured formats, this study is a great fit.
Discuss how your...
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