Future of Insights

Future of Insights Summit

Wednesday 14th August
8:30am - 12 noon
Old Government Building, University of Auckland

This is an interactive summit for senior members of the industry to discuss possible scenarios and answers to questions such as:

  • Where are market research and insight going?
  • What is the role for smaller countries?
  • Who are our competitors?
  • What do clients want, what do they need?
  • What is the impact of new technology?
  • Who should we be recruiting?

Members $65 + GST
Non-members $75 + GST

The Story in the Data

Finding and Communicating The Story In the Data - full day workshop

Thursday 15th August
8:30am - 4:30pm
Old Government Building, University of Auckland

Storytelling is one of the hottest topics in market research. However, this popularity highlights a major need, namely, how to find the story. Great graphics and wonderful communication are only useful if the underlying story is the right story. This course focuses on what comes before the storytelling, i.e. how to take information (for example market research data) and reliably find the key messages. The course is delivered via a mix of taught material (e.g. what the approaches are and case studies) and practical ‘hands on’ learning through doing.

Who will benefit from this course?

Those who need to work with information (quantitative and/or qualitative) to find answers, solutions, and insight. This is likely to include market researchers and insight managers, but would also include brand managers and senior executives. Whilst the focus of the material used will be drawn from market research, the techniques are equally applicable to anybody using evidence-based decision-making, for example people involved in R&D, HR, and even finance.

Aims and objectives

The key objective of the course is to share techniques for systematically and reliably finding the message buried in data and information. Some people are blessed with the ability to intuitively find the story, but they tend to struggle to teach others to be intuitive. The approach covered in the course is designed to be taught; it does not rely on creative or intuitive jumps, and can be used in team situations.

Learning outcomes

  • Understanding the role of frameworks in finding the message in information
  • Identifying the sort of problem that is being addressed
  • Identifying the sort of answer that is needed
  • Techniques for manipulating data sets to reveal the story
  • Crafting the story from the information

Testimonials from the MRS Website

  • “How to transition effectively from the detail to the right bigger picture to influence and shape business decision-making.” - Marisa O'Connor, Barclay's
  • “Loved it! Very interesting - day flew by.” - Steven Chamberlain, Sky
  • “A toolkit for communicating research.” - Xanthe Couture, Citizen Advice
  • “Educational! I learnt a lot of useful things that I can take back to my job.” - Abisla Qui, Rightmove
  • “Very interesting, useful, providing actionable advice & analysis methods.” - Sonia Maqsood, Barclay's Insight Team
  • “Interesting, entertaining and worthwhile.” - Katie Jackson, AECOM limited
Members $495 + GST
Non-members $650 + GST

Hurry, places limited to only 25!

Back to top

Advanced Statistical Techniques

Introduction to Advanced Statistical Techniques - HALF DAY WORKSHOP

Friday 16th August
8:30am - 12:30pm
Old Government Building, University of Auckland

The growth in integrated solutions and DIY platforms means that advanced statistical techniques (such as cluster analysis and conjoint analysis) are available to an ever-increasing number of market researchers and insight professionals. However, access to the tools does not automatically convey the knowledge about how to choose and deploy an appropriate technique. This course provides an overview of the tools and techniques and a non-technical introduction to many of them.

Who will find it useful?

The course is designed for people looking for an overview of advanced statistical techniques, such as Factor Analysis, Cluster Analysis, Correspondence Analysis, Regression Analysis, and Conjoint Analysis. Typical participants include those commissioning research, researchers wishing to broaden their role, and those considering specialising in advanced quantitative techniques.


The course aims to fulfil the same role that a map performs for an explorer – it describes the terrain, highlights hazards and gives guidance on the best routes. The course outlines a range of advanced techniques, discusses which business questions they address, shows what sorts of data are required, and highlights their strengths and weaknesses.

Learning Outcomes

  • Understand the difference between dependence techniques (e.g. regression) and interdependence techniques (e.g. factor analysis).
  • Learn how to map techniques to specific business/research needs/questions.
  • Appreciate the strengths, weaknesses, and requirements of the key advanced statistical techniques.


Participants will receive a copy of “Analytics For Customer Insights: A Non-Technical Introduction”, author Chuck Chakrapani, published 2018.

Members $295 + GST
Non-members $395 + GST

Hurry, places limited to only 25!

Back to top

Research Association New Zealand (RANZ), PO Box 65 446, Mairangi Bay, Auckland, New Zealand.

Research Association NZ Privacy Statement and Terms and Conditions

Powered by Wild Apricot Membership Software