Видео

Customer Service Research

Reorienting Operational Data to Measure Customer Experience
Видео

Customer Service Research

Reorienting Operational Data to Measure Customer Experience
  • Продолжительность
    39 минут
  • Уровень слушателя
    Middle/Senior
  • Фоновый просмотр
    Рекомендуем смотреть слайды для лучшего понимания
  • Языки
    English
О чем это видео?
Customer service tends to be an area of the business often separated from Tech & Product. Yet it has the potential to be the goldmine of data about customer experience. It can be symptomatic of problems created by the products for customers and be an important touchpoint that can shape the long-term relationship with the customer.
My research team was tasked to make sense of the abundance of data tracked in customer service and deliver insights that can help product teams improve customer experience. Yet along the way, we discovered that the existing data structure and metrics represented more the operational, rather than customer perspective. This led our team to reorient our goals – instead of trying to provide insights, to solve the problem at its root: create a new customer-centric data structure that allows measuring the customer service experience in a systematic way.
Что вы узнаете из этой лекции:
  • Which customer service data you need to transfer to product development team
  • How to build and proof the root cause model for customer service tickets analysis
  • How to make customer service tickets work as data containers for the product team
  • What do you need to implement this framework in your organisation
Anna Efimenko
Senior UX Researcher (ex-Booking.com) & UX Research Ambassador @UXinsight
With a decade of experience and social science background, Anna's goal is to mature human-centered culture in organizations. Having worked across different environments (startups & corporate, b2c & b2b, agile), Anna has extensive track record of using qualitative & quantitative data to inform strategy, design, KPIs and more. Her focus is to elevate the research maturity with strategy, mentorship, knowledge sharing and improvements to operations.
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