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Videos

Is it possible to predict human decision-making?

Using qual and quant to understand why consumers really make decisions, not why you think they do.

Catalogue: Fusion 2019
Author: Nina Kanin
Company: Streetbees
November 10, 2019
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Citation

Kanin, N. (2019a, November 10). Is it possible to predict human decision-making?. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/is-it-possible-to-predict-human-decision-making--10864


Videos

Reading the tea leaves

Do you want to foresee the future? Then, why not create it? We'll show how we access to ideas/ images of the future that are 'submerged' deep in consumers' mind and weave them into a compelling story for brands to realise their desirable future.

Catalogue: Fusion 2019
Authors: Akiko Hoshi, Rumiko Ayusawa
Company: INTAGE HOLDINGS Inc.
November 10, 2019
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Citation

Hoshi and Ayusawa (2019a, November 10). Reading the tea leaves. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/reading-the-tea-leaves-10867


Videos

Big Data big debate

How do you handle more than 5 million verbatims and creative proposals in just two weeks?

Catalogue: Fusion 2019
Author: Bruno Jeanbart
Company: OpinionWay
November 10, 2019
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Citation

Jeanbart, B. (2019a, November 10). Big Data big debate. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/big-data-big-debate-10842


Videos

Unscripting the script

Designing provocative conversations with consumers and stakeholders to spark strategic imagination.

Catalogue: Fusion 2019
Author: Manisha Dikshit
Company: Consumer Faces
November 10, 2019
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Citation

Dikshit, M. (2019a, November 10). Unscripting the script. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/unscripting-the-script-10876


Research papers

Trends change, motivations do not

How to build age-less marketing campaigns that are relevant to the consumers? Revealing the impact of 'motivations' on sales in the brand echoverse using linguistic inquiry and machine learning.

Catalogue: Fusion 2019
Authors: Ezgi Akpinar, Serkan Ceran, Ilker Sermen, Merve Yigit Yontar
Companies: Ipsos MRBI, The Coca-Cola Company
November 10, 2019
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Citation

Akpinar, Ceran, Sermen and Yontar (2019a, November 10). Trends change, motivations do not. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/trends-change-motivations-do-not


Research papers

Enabling digital transformation

Market research's digital transformation takes more than new data and tools, but also requires motivating and enabling people to work differently.

Catalogue: Fusion 2019
Authors: Jeffrey Mercer, Marian Anderson
Company: Microsoft
November 10, 2019
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Citation

Mercer and Anderson (2019a, November 10). Enabling digital transformation. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/enabling-digital-transformation


Research papers

Building a bridge between UX and analysts

Striking meaningful conversations with analytics. In companies where analytics resources are scarce, how can user researchers start to have meaningful conversations with analysts in order to work on impactful research together?

Catalogue: Fusion 2019
Author: Paula Herrera
Company: GetYourGuide
November 10, 2019
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Citation

Herrera, P. (2019a, November 10). Building a bridge between UX and analysts. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/building-a-bridge-between-ux-and-analysts


Research papers

Quick qual manifesto

From ethnography to rapid ethnography to insights sprints, it seems like there is a constant request for faster results. How can we tackle this without compromising the essence of user-centered design? Quick Qual Manifesto aims to explain how.

Catalogue: Fusion 2019
Authors: Nasly Liliana Galindo Quiroga, Gabriel Escalante
Company: INSITUM
November 10, 2019
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Citation

Galindo Quiroga and Escalante (2019a, November 10). Quick qual manifesto. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/quick-qual-manifesto


Videos

iFactor

Using CRM data to harness clients' irritating experiences feedback thanks to machine learning enrich outcomes with a social data deep dive into customers' pain points and related emotions.

Catalogue: Fusion 2019
Authors: Charlotte Zaepfel, Mathilde Guinaudeau
Company: Ipsos MRBI
November 10, 2019
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Citation

Zaepfel and Guinaudeau (2019a, November 10). iFactor. ANA - ESOMAR. Retrieved June 17, 2025, from


https://ana.esomar.org/documents/ifactor-10852