Results for:AI ethics

A leading telecommunications and internet service provider, known for its competitive pricing and generous data offerings, faced challenges with customer satisfaction due to issues with network coverage, service reliability, and customer support.To enhance satisfaction and maintain competitiveness, the company sought deeper insights into customer feedback, particularly understanding the drivers behind Net Promoter Scores (NPS) and overall satisfaction ratings. However, traditional methods of analyzing open-ended survey responses, such as theming and coding, proved insufficient for uncovering the nuanced insights needed to inform strategic improvements.

Our SaaS client built a strong AI product, but customers were struggling to understand how it was better from the sudden launch of a million other AI products.

Conducting expert interviews (B2B IDIs) and analyzing the transcripts takes a lot of time. A 1-hour expert call becomes about 20 pages of data-packed text. That's impractical to scroll through manually, especially when you have dozens of expert calls in a project.

A leading beverage company operating in New Zealand faced the challenge of staying relevant in the Sparkling Soft Drinks market amid significant economic pressures. With inflation and cost-of-living concerns shaping consumer decisions, the brand needed to understand how these financial stresses were influencing perceptions of value, shopping behavior, and emotional drivers in the category. Without clear insights into emerging tensions, barriers, and shifting consumer priorities, the company risked misaligned marketing and product strategies, potentially losing competitiveness in a rapidly evolving market.