When Thematic Coding is a Delight
January 30, 2025, at 10 a.m. ET/3 p.m. U.K.
When teams leverage highly accurate, context-adaptive and easy-to-use text analytics, the results go far beyond efficiency.
Because unlocking actionable insights from customer feedback isn’t just about saving time – it’s about driving growth, fueling innovation and accurately understanding key segments to solve business challenges and unearth opportunities. In this session, we’ll explore how intuitive, high-quality text analytics transforms the way teams work, driving bottom-line results and delighting stakeholders.
Through real-world examples we’ll explore:
- Ease of use unlocks excellence: See how and why teams that love their text analytics deliver higher-quality insights from OEs, more frequently, boosting productivity and morale.
- Efficiency to revenue impact: Examples of how scalable and accurate OE analysis empower teams to uncover key drivers in open-ends and unlock untapped opportunities that lead to measurable ROI.
- Teams innovate and drive growth: Accurate, adaptive and delightful open-ended analysis fuels process and product innovation, creates new revenue streams and drives strategic innovation.
When accurate thematic coding becomes a breeze, the impact is transformational – unlocking better insights, fostering creativity and translating directly into measurable business value.
Presenter:
Tovah Paglaro, Co-founder, Fathom Tovah is a founder of Fathom, where she empowers researchers from leading brands and agencies to understand and act on open-ended data at scale. Tovah has led research for multinational brands, delivered insights that have driven billions in spending on complex social issues and developed talent and technology to center human empathy in research. Her previous company, Avalanche Insights – a leading public opinion firm in progressive politics – was acquired in 2023. Tovah is a single mother of three kids, volunteers as a mentor for female founders and sits on working groups with the Harvard Human Flourishing project and the Stanford AI & Ethics program. |