Build a customer interview library with Gladia, Airtable & Make.com

Ani Ghazaryan's guide explores the construction of a customer interview library using Gladia, Airtable, and Make.com to streamline and organize qualitative research data effectively. The process involves Gladia's Solaria-1 for precise transcription and diarization, which significantly reduces word and diarization error rates, transforming raw interview recordings into structured and theme-tagged data. Make.com automates the routing of these transcripts into Airtable, creating a searchable library that product teams can query for insights, such as customer feedback on specific themes or sentiments. The guide emphasizes the importance of accurate transcription to prevent misattribution of quotes, which can skew research findings, and highlights the cost-effectiveness of Gladia's pricing model against alternatives by including comprehensive audio intelligence features at no additional charge. This streamlined process not only enhances data accuracy but also ensures quick access to critical insights, aiding product teams in making informed decisions based on qualitative data.

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