Text Analysis in Q
16 June 2020 | by Matilda Sarah

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DIY Segmentation
05 May 2020 | by Matilda Sarah

Whether you’re creating your own segmentation for the first time, or you want to hone the approach you already use, this webinar is for you! In

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How to Create Variables in Q
16 April 2020 | by Matilda Sarah

When it comes to survey data, creating new variables or transforming old variables into new ones is not always that easy.

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Mastering Driver Analysis
28 February 2020 | by Matilda Sarah

Whether this is your first driver analysis or you’re already a guru, this webinar is for you. This webinar will explain all the key steps

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Discover the Top Six Techniques of Pricing Research
02 February 2020 | by Matilda Sarah

With all of the analysis tools and frameworks used in survey-based pricing research, how do you know which is best for your study? This webinar

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Live Q&A on Brand Tracking – Episode #2
06 December 2019 | by Ryan Fahey

We’re hosting a live Q&A webinar series for Q users! We’ll answer your questions, share tips & tricks, and more. The second episode will follow

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Take Back your Time with Brand Tracking Studies that Automatically Update with Displayr
11 November 2019 | by Matilda Sarah

This 30 min webinar will show you how you can use Displayr to save time, money, effort, pain, mistakes, and even tears with: Automatic updates

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How to Quickly Analyze Text Data
20 September 2019 | by Ryan Fahey

Can we talk about how difficult and inefficient Text Analysis tools can be? If you’re like many businesses, you are looking for ways to understand

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How to create visualizations to synthesize survey data
20 August 2019 | by Kris Tonthat

Instantly meaningful, memorable, and insightful. Are these words used to describe your data visualizations and survey reporting? They can be!   Research Rockstar’s Kathryn Korostoff

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Five Key Data Analysis Frameworks for Building Strong Brand Strategy
06 August 2019 | by Matilda Sarah

Your brand is your most valuable asset. So how do you know if it’s winning hearts and minds? How does it stack up against the

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Making TURF for New Product Development Awesome in Less than 20 Mins
11 June 2019 | by Lucy Li

Need to find out what is the most efficient product portfolio? Then this Making TURF for New Product Development Awesome in Less than 20 mins

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DIY Market Segmentation
13 February 2019 | by Matilda Sarah

This webinar covered the core steps you need to perform when doing your own segmentation: Writing ‘golden questions’ for market segmentation. Choosing the right algorithm

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Using Excel for Data Analysis? There’s a Better Way.
27 November 2018 | by Lucy Li

Do you use Excel to create pivot tables, perform T-tests, regression, and charts? Are you sick of drowning in broken formulas and anxiously searching for meaning

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DIY Data Science Toolkit for Market Researchers
27 November 2018 | by Lucy Li

No one understands survey data like Market Researchers. But depending only on survey analysis isn’t enough anymore –more data, better tools, new analysis techniques…how do

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Halve your Analysis and Reporting Time!
13 November 2018 | by Lucy Li

Imagine not being swamped by data. Imagine not being stressed by deadlines. Imagine what you could do with more time.  This webinar recording will show

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How to do choice modeling (choice-based conjoint; CBC) webinar!
06 November 2018 | by Ryan Fahey

If you do (or want to do) choice modeling (choice-based conjoint; CBC), this webinar is for you. Until now, choice modeling has been difficult and

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Learn how to Transform your Survey Data Easier and Quicker!
03 October 2018 | by Matilda Sarah

Have you ever thought "There must be a better way to analyze data?"There is. In this webinar, market researcher Matt Steele demonstrates how Q uses automation t...

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Market research dashboards
Market research dashboards without the work!
12 September 2018 | by Matilda Sarah

Market research dashboards have had a (deservedly) bad rep for years. This webinar shows how you can say goodbye to headaches and hello to the freedom of DIY da...

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Extreme PowerPoint Makeover for Market Research
18 July 2018 | by Matilda Sarah

In this webinar, Matt Steele will show you how to transform your PowerPoint presentation from ugly duckling to beautiful swan and fast! He’ll cover: the lates...

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Goodbye SPSS, Hello Q!
21 May 2018 | by Matilda Sarah

If you use SPSS, your analysis is taking twice as long as it should. Most market researchers still rely on SPSS, so too many valuable hours

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Discover New Ways to Visualize Market Research Data
01 May 2018 | by Matilda Sarah

The webinar shows how to create visualizations that improve storytelling. It focuses exclusively on visualizations that work with standard market research data. Visualizations explored: stream

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How to Set Up Data for Fast, Error-Free Analysis
15 March 2018 | by Matilda Sarah

This webinar will set you up for speedy, highly-automated, error-free analysis. It will show you the best way to clean, tidy and prepare data in

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Market research dashboards
DIY Market Research Dashboards – Building 4 in 40 minutes
11 December 2017 | by Matilda Sarah

This webinar shows busy market researchers how they can create beautiful interactive dashboards. Do you still share your findings in PowerPoint and Excel? Isn’t this

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Isn’t it time to ditch your painful market research software?
12 September 2017 | by Matilda Sarah

Every market researcher we talk to is slowed down by outdated, hard-to-use, and inefficient software. In this webinar, we show how you can use Q

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DIY Market Mapping Using Correspondence Analysis
12 July 2017 | by Matilda Sarah

It converts difficult-to-read tables into client-friendly visualizations. This webinar will focus on when and how to perform correspondence analysis. It will review the basics, and

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8 Ways to massively improve quant researcher productivity
12 June 2017 | by Matilda Sarah

Focusing on five efficiency boosters, market researchers will learn how they can halve analysis times by: Using standardized residuals to highlight interesting cells on a

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DIY Max-Diff
12 May 2017 | by Matilda Sarah

By the end of the webinar you will know how to: create the experimental design, arrange the fieldwork, setup the data, test for difference between

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