Find and Communicate the Story - Ray Poynter - Lesson 1Ray Poynter
Lesson 1 of 6. Ray Poynter and NewMR provide a webinar-based course on how to find the communicate the story in the data. This first lesson provides and introduction and overview.
Finding and communcating the story in complex data streams - Lesson 4 of 6Ray Poynter
Ray Poynter delivers the 4th lesson in the #NewMR webinar series on Finding and Communicating the Story in the Data. This lesson looks at Complex and Large Data Streams.
Finding and communicating the story using visualisation - Lesson 5 of 6Ray Poynter
Ray Poynter delivers the 5th lesson in the #NewMR webinar series on Finding and Communicating the Story in the Data. This lesson looks at Visualisation.
Find and Communicate the Story - Ray Poynter - Lesson 1Ray Poynter
Lesson 1 of 6. Ray Poynter and NewMR provide a webinar-based course on how to find the communicate the story in the data. This first lesson provides and introduction and overview.
Finding and communcating the story in complex data streams - Lesson 4 of 6Ray Poynter
Ray Poynter delivers the 4th lesson in the #NewMR webinar series on Finding and Communicating the Story in the Data. This lesson looks at Complex and Large Data Streams.
Finding and communicating the story using visualisation - Lesson 5 of 6Ray Poynter
Ray Poynter delivers the 5th lesson in the #NewMR webinar series on Finding and Communicating the Story in the Data. This lesson looks at Visualisation.
Your organization produces a lot of content, but does it have purpose? Does it help meet strategic goals and encourage member engagement? In this in-depth workshop, learn how to create a content strategy that works. Through small group exercises and real world examples, you will learn to break down content strategy into its parts, build from the information you may already have, and incorporate tactics and processes to make your digital communications successful. Attendees will get access to a workbook of ideas and learn tactics to use in your organization.
Content strategy workshop at the 2015 ASAE Tech Conference, given with Dina Lewis, CAE, president, Distilled Logic LLC and Carrie Hane Dennison, content and digital strategist
Building Your Own Content Strategy RoadmapCarrie Hane
Your website is filled with content––but does it have a purpose? Does it help your association meet its strategic goals, increase member value, or help members grow in their own professions? Once you have a content strategy, you’ll be able to understand and articulate why content should exist. You’ll be able to use this to assess the content you already have, and make sure your staff and members create smart, actionable content in the future. Further, you will understand how to leverage today’s and tomorrow’s technologies, so your association’s content can be found and used anywhere, on any device. Join top association content strategists to learn how to put together a content strategy that works for your organization. Learn how you can incorporate content strategy tactics and processes into what you do now.
Trend Spotting Workshop. A practical guide to making sense of large information sources. Workshop run with Gemma Long (QAA) at etc.venues Maple House, Birmingham, 23rd February 2017.
Hands-on workshop led by Carrie Hane Dennison; Dina Lewis, CAE; and Hilary Marsh geared toward teaching participants to plan, create, and manage content to be found and used anywhere, on any device.
Organizations produce a lot of content and publish it across multiple channels, but does it have a purpose? Does it help meet strategic goals, increase customer value, or help the audience achieve their goals? With a content strategy, teams can:
articulate what content should be published and why
assess the content that exists already
create smart, actionable content in the future
This workshop covered the steps involved in creating a content strategy that works, and how to incorporate content strategy tactics and processes today.
With small group exercises and real-life examples and stories, participants left with ready-to-use ideas.
The goals of this session were to understand what content strategy is and how to get started, to learn how to make content strategy part of the organization's communications, and to prepare content to be found and used anywhere, on any device.
Organizations produce a lot of content and publishes it across multiple channels, but does it have a purpose? Does it help meet strategic goals, increase customer value, or help an audience achieve its goals? This session covered the steps involved in creating an effective content strategy, and how to incorporate content strategy tactics and processes into current work The workshop included hands-on exercises, providing participants with tools they could use right away at work.
Understanding customers is a fundamental activity of professional Product Management. There are many ways of gathering research that will help develop this understanding and this "Briefly Explained" presentation provides context to the What, Why and When of these different methods.
A very interesting and enjoyable seeion with Pia and Piyul, knowing the mind-set of the people in a rural setup and how different it is from the urban society.
For more details read our blog :
This slide deck covers why primary market research (aka customer development, customer research or customer empathy) is important and necessary, outlines how to organize a successful research program, provides a sampling of common qualitative and quantitative primary market research techniques, and provides an FAQ section on common questions.
Evaluating research impact: From a specific case to general guidelines. Anne Bergen
This workshop presentation to the Canadian Knowledge Mobilization Forum (2016) provided an overview of research impact evaluation, from planning, to implementing, to understanding and using the results.
The State of AI in Insights and Research 2024: Results and FindingsRay Poynter
This presentation from Ray Poynter of NewMR shares the findings from the latest NewMR study.
The study looks at the use of Artificial Intelligence in insights and research, including a deeper dive into the topic of Synthetic Data.
Find out how many people are using AI, how many are testing it, what they are doing, and what people think about Synthetic Data.
And, hear about where AI and research might be in two year’s time.
Listen to the recording of this presentation via NewMR.org/Play-Again, and also access other presentations from NewMR on all things market research, insight, and AI.
ResearchWiseAI - an artificial intelligence driven research data analysis toolRay Poynter
This presentation was delivered as part of the NewMR 'State of AI and Insights 2024' webinar event, April 2024.
This presentation highlights the expanded range of tools available from ResearchWiseAI – an AI tool that summarises research findings from surveys.
Questions for the team? Email us at support@researchwiseai.com or visit our website: https://researchwiseai.com/
Visit NewMR.org/Play-Again to listen to this presentation recording , and access the other presentation in this webinar event.
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Similar to Finding and communicating the story in qualitative information - Lesson 2
Your organization produces a lot of content, but does it have purpose? Does it help meet strategic goals and encourage member engagement? In this in-depth workshop, learn how to create a content strategy that works. Through small group exercises and real world examples, you will learn to break down content strategy into its parts, build from the information you may already have, and incorporate tactics and processes to make your digital communications successful. Attendees will get access to a workbook of ideas and learn tactics to use in your organization.
Content strategy workshop at the 2015 ASAE Tech Conference, given with Dina Lewis, CAE, president, Distilled Logic LLC and Carrie Hane Dennison, content and digital strategist
Building Your Own Content Strategy RoadmapCarrie Hane
Your website is filled with content––but does it have a purpose? Does it help your association meet its strategic goals, increase member value, or help members grow in their own professions? Once you have a content strategy, you’ll be able to understand and articulate why content should exist. You’ll be able to use this to assess the content you already have, and make sure your staff and members create smart, actionable content in the future. Further, you will understand how to leverage today’s and tomorrow’s technologies, so your association’s content can be found and used anywhere, on any device. Join top association content strategists to learn how to put together a content strategy that works for your organization. Learn how you can incorporate content strategy tactics and processes into what you do now.
Trend Spotting Workshop. A practical guide to making sense of large information sources. Workshop run with Gemma Long (QAA) at etc.venues Maple House, Birmingham, 23rd February 2017.
Hands-on workshop led by Carrie Hane Dennison; Dina Lewis, CAE; and Hilary Marsh geared toward teaching participants to plan, create, and manage content to be found and used anywhere, on any device.
Organizations produce a lot of content and publish it across multiple channels, but does it have a purpose? Does it help meet strategic goals, increase customer value, or help the audience achieve their goals? With a content strategy, teams can:
articulate what content should be published and why
assess the content that exists already
create smart, actionable content in the future
This workshop covered the steps involved in creating a content strategy that works, and how to incorporate content strategy tactics and processes today.
With small group exercises and real-life examples and stories, participants left with ready-to-use ideas.
The goals of this session were to understand what content strategy is and how to get started, to learn how to make content strategy part of the organization's communications, and to prepare content to be found and used anywhere, on any device.
Organizations produce a lot of content and publishes it across multiple channels, but does it have a purpose? Does it help meet strategic goals, increase customer value, or help an audience achieve its goals? This session covered the steps involved in creating an effective content strategy, and how to incorporate content strategy tactics and processes into current work The workshop included hands-on exercises, providing participants with tools they could use right away at work.
Understanding customers is a fundamental activity of professional Product Management. There are many ways of gathering research that will help develop this understanding and this "Briefly Explained" presentation provides context to the What, Why and When of these different methods.
A very interesting and enjoyable seeion with Pia and Piyul, knowing the mind-set of the people in a rural setup and how different it is from the urban society.
For more details read our blog :
This slide deck covers why primary market research (aka customer development, customer research or customer empathy) is important and necessary, outlines how to organize a successful research program, provides a sampling of common qualitative and quantitative primary market research techniques, and provides an FAQ section on common questions.
Evaluating research impact: From a specific case to general guidelines. Anne Bergen
This workshop presentation to the Canadian Knowledge Mobilization Forum (2016) provided an overview of research impact evaluation, from planning, to implementing, to understanding and using the results.
The State of AI in Insights and Research 2024: Results and FindingsRay Poynter
This presentation from Ray Poynter of NewMR shares the findings from the latest NewMR study.
The study looks at the use of Artificial Intelligence in insights and research, including a deeper dive into the topic of Synthetic Data.
Find out how many people are using AI, how many are testing it, what they are doing, and what people think about Synthetic Data.
And, hear about where AI and research might be in two year’s time.
Listen to the recording of this presentation via NewMR.org/Play-Again, and also access other presentations from NewMR on all things market research, insight, and AI.
ResearchWiseAI - an artificial intelligence driven research data analysis toolRay Poynter
This presentation was delivered as part of the NewMR 'State of AI and Insights 2024' webinar event, April 2024.
This presentation highlights the expanded range of tools available from ResearchWiseAI – an AI tool that summarises research findings from surveys.
Questions for the team? Email us at support@researchwiseai.com or visit our website: https://researchwiseai.com/
Visit NewMR.org/Play-Again to listen to this presentation recording , and access the other presentation in this webinar event.
AI-powered interviewing: Best practices from YasnaRay Poynter
This presentation is Part 2 of 2.
Join us as we explore how AI can be used to supercharge your qualitative research.
Enjoy two presentations, the first presentation is shared by Ray Poynter from NewMR, who is looking at AI and Qual: The Story So Far.
The second presentation, this presentation, is Part 2 of 2 from Fastuna and Yasna, and shows how Yasna can be used to create AI-powered interviewing. Their presentation is called 'AI-powered interviewing: Best practices from Yasna'.
To listen to the recordings for both presentations in this webinar, visit NewMR.org/Play-Again.
Artificial Intelligence and Qual: The Story So FarRay Poynter
This presentation is Part 1 of 2.
Join us as we explore how Artificial Intelligence can be used to supercharge your qualitative research.
Enjoy two presentations, the first (this presentation) is shared by Ray Poynter from NewMR, who is looking at AI and Qual: The Story So Far.
The second presentation, Part 2 of 2 is from Fastuna and Yasna, and shows how Yasna can be used to create AI-powered interviewing. Their presentation is called 'AI-powered interviewing: Best practices from Yasna'.
To listen to the recordings for both presentations in this webinar, visit NewMR.org/Play-Again.
State of Research Insights in Q1, 2024 from NewMRRay Poynter
Join us as Ray Poynter of NewMR presents the latest updates from NewMR’s study into the state of insights. This is the third wave in an ongoing series, where NewMR checks on topics such as:
- How optimistic are insight professionals?
- What are they most positive about?
- What are their main worries?
Ray will present the latest findings in the context of the two waves from 2023.
Ray will also present information about the skills people are seeking to learn and their preferences for face-to-face events.
We will also share a link for you to download the NewMR report into Optimism in the insights and research ecosystem.
In the final section of the webinar, Ray will illustrate how he used the AI-powered ResearchWiseAI tool to kick start his analysis.
Access the event recording via NewMR.org/Play-Again
Presented by Daniel Fazekas, Bakomo Social.
Social intelligence research possesses the capability to capture, analyze, and interpret the myriad factors influencing how consumers align themselves with product categories and brands, with special focus on their underlying dynamics.
By capturing unfiltered opinions across social media, this type of research unveils the process with which consumers can shift their perspectives, influenced by the opinions of others, influencers, news, and even misinformation. The talk by Daniel Fazekas shares examples of the volatile nature of consumer mindset across consumer categories and geographies.
This presentation is part of the Story Time: Narrative Research forum event, hosted and produced by the Irrational Agency and NewMR, bringing together leading proponents of commercial narrative research across disciplines, to share how organisations can use story to generate unique and impactful insights.
To listen to the presentation, and access the recording, visit NewMR.org/Play-Again
While nearly every participant is willing to answer our questions in market research, very few actually share what’s really happening inside their minds. By leveraging insights from the field of narrative psychology, Kristian A. Alomá, PhD, an academic and practitioner in the field, will demonstrate how consumers really think about brands and the role narratives play in that thought process. He’ll break down what that means for businesses and market researchers and how we can move past surface-level answers and get to the rich stories driving consumer behavior.
This presentation is part of the Story Time: Narrative Research forum event, hosted and produced by the Irrational Agency and NewMR, bringing together leading proponents of commercial narrative research across disciplines, to share how organisations can use story to generate unique and impactful insights.
To listen to the presentation and access the recording, visit NewMR.org/Play-Again.
Narrative Exploration of New Categories at MondelēzRay Poynter
As part of the Story Time: The Narrative Research Forum event, Steph Shaarwi (Irrational Agency) and Maura Collins-Titone (Mondelēz) discuss and share how Mondelēz used narrative research to identify emerging category trends and leverage that information to shape new propositions.
This presention is part of the Story Time: Narrative Research forum event, hosted and produced by the Irrational Agency and NewMR, bringing together leading proponents of commercial narrative research across disciplines, to share how organisations can use story to generate unique and impactful insights.
To listen to the presentation and access the recording, visit NewMR.org/Play-Again
Join Ray Poynter, Alexandra Kuzmina, and Lisa Wilding-Brown as we investigate key topics for insights and research, including:
- Blending Conversation AI and Behavioural Science; Experiments in future oriented concept testing
- Quality & Fraud Trends; What is happening and what are the implications
- Automating Research; What can we automate and what are the implications
The recordings from this presentation can be found via NewMR.org/Play-Again
Join our panel of experts on NewMR as we explore:
- Synthetic Data, what is it, and what are the issues and opportunities, what should we do next?
- How should client insight teams be more efficient, more effective, and impactful in the rooms where the decisions are made?
- What do experiments with avatars tell us about data collection, how should we conduct and interpret experiments, and what are the next steps?
Access the recording to this webinar via NewMR.org/Play-Again
Presented by Ray Poynter
In this webinar, Ray Poynter provides a summary of the key trends that are shaping the world of insights. Addressing questions such as:
- What is really happening in insights with AI?
- What is happening in the field of Synthetic Data?
- What is happening with data quality?
- What forces outside market research are shaping insights?
- What are the key skills that people should be developing?
- What plans should you be making for 2024?
To access the presentation recording, visit NewMR.org/Play-Again
Learn how we can embrace Research Thinking to build skills, develop research capabilities and capacity, and demonstrate the power and value of human research professionals.
Research Thinking can serve as a unifying concept that describes the strengths and capabilities that researchers have and how researchers add value, or what we can think of as a researcher’s superpowers.
The recording of this presentation can be access via NewMR.org/Play-Again.
How might AI impact Research and Insights over the next two years?Ray Poynter
In this presentation, Ray focuses on the short-term picture for research and insights;
what will change, what will stay the same, and what are the big issues when it comes to the impact of Artificial Intelligence.
The recording of this presentation can be access via NewMR.org/Play-Again.
From Words to Wisdom: Unleashing the Potential of Language Models for Human-C...Ray Poynter
Presenter: Paul Watts, Director, Product Management at Forsta
With the rapid adoption of AI technologies like ChatGPT into insight platforms, companies face the challenge of finding the right balance between harnessing the power of generative AI and navigating the well-documented pitfalls associated with a technology that is still in its infancy.
In this session, Paul provides valuable insights on the potential benefits and downsides of this technology, and he will explore how a hybrid model can effectively leverage the strengths of both humans and technology.
By embracing a human-centered approach, we showcase a compelling use case from the Forsta labs, demonstrating how insight professionals can effortlessly explore their datasets using natural-language questioning.
Furthermore, we discuss the future implications of this technology and the exciting possibilities it holds for data exploration.
To access the recording of this presentation, visit NewMR.org/Play-Again
ChatGPT for Social Media Listening: practical application with YouScan’s Insi...Ray Poynter
A few months ago, YouScan released Insights Copilot (https://youscan.io/insights-copilot/), the first on the market ChatGPT-powered tool for social media listening that allows you to ask any questions about the data and get answers supported by relevant examples.
Alex Orap, YouScan’s Founder & Chief Growth Officer, shares practical examples of how Insights Copilot can be used for quick qualitative insights; what are some of the best practices, as well as current limitations, of using this new generative AI tool for the market and consumer research.
The recording of this presentation can be access via NewMR.org/Play-Again.
Using Generative AI to Assess the Quality of Open-Ended Responses in SurveysRay Poynter
Presented by Karine Pepin.
An enormous amount of time and resources are devoted to improving data quality in survey research.
The quality of open-ended responses has become a critical factor for researchers in evaluating the validity of each participant. Reading through open-ended responses is a time-consuming task that has been difficult to automate.
While most tools are capable of identifying obviously inappropriate responses such as gibberish and profanity, they generally lack the ability to effectively assess the quality of the content.
With its ability to understand context and user-friendliness, Generative AI opens up opportunities for researchers to automate this laborious cleaning process.
During this session, you will be presented with a practical use case demonstrating how GPT was utilized to efficiently clean open-ended responses on a large scale.
Access the presentation recording via NewMR.org/Play-Again
Exploring the future of verbatim coding with ChatGPTRay Poynter
Presented by Tim Brandwood and Damien Gouriet.
Codeit have been involved in Verbatim Coding and Machine Learning for the last 7 years.
In this presentation, they share their research on the use of Generative AI for coding market research verbatim responses, and their experiments using Generative AI to automate the coding process.
They also discuss the strengths and limitations of this as a coding tool, the role of human oversight in the process, and the potential for customized machine learning models working alongside it.
The highlights the importance of human expertise and the use of GPT as a labour-saving tool rather than a complete replacement for humans in the market research process.
Access the presentation recording via NewMR.org/Play-Again.
Using Generative AI to bring Qualitative Capabilities to Quantitative SurveysRay Poynter
Presented by Phil Sutcliffe from Next Intelligence.
Open-ended answers in surveys can be disappointing, failing to deliver the insight that researchers hope for.
Often the answers given are descriptive at best and uninformative or complete gibberish at worst.
The advent of large language models (LLM's) and generative AI has brought great opportunity to change this.
We now have the capability to use AI to probe within quantitative surveys.
With the correct training of the generative AI models, probes can be returned that are relevant to what the participant has just said and the context of the original open-ended question.
Further enhancements allow the researcher to probe on specific aspects of the participant’s response, in a similar way to how a moderator would in a depth discussion.
No longer do researchers need to be frustrated that quant surveys only provide the ‘what’, with AI probing, you can now understand the ‘why’ as well and do this at scale and speed.
Access the presentation recording via NewMR.org/Play-Again
How AI / ChatGPT Drives Business GrowthRay Poynter
Hao, the Founder of HaoLifeLab, is an entrepreneur with over 10 years of experience specializing in integrating Digital, AI & Insight.
In this presentation, he discusses how to embrace the AI/ChatGPT revolution. This session will cover the following topics, which have been presented to international companies such as L’Oreal, Alibaba, Bytedance, and Mars:
– Hindsight: Learn to use established AI tools effectively
– Insight: Understand AI’s impact on the insight industry
– Foresight: Learn how to transform yourself and your company with AI
Listen to the full presentation at NewMR.org/Play-Again
Tech for tech’s sake? Learnings from experiments with AI in consumer researchRay Poynter
MMR’s in-house tech innovation team NOVA, has been exploring, interpreting, and experimenting with emerging technology with a sole focus to uncover the kind of tech that will make a tangible difference to the quality and depth of insight.
The presentation outlines the latest experimentations with practical application of AI and LLM’s: conversing with consumers at scale with chatbots, in-the-moment data capture with voice technology, unstructured data analysis, increasing survey engagement and improving data quality with AI avatars.
Insights from case studies conducted alongside leading FMCG brands will highlight the advantages and limitations of these technologies, with a particular focus on product and packaging development and testing.
Listen to the full presentation at NewMR.org/Play-Again.
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
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RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
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Putting the SPARK into Virtual Training.pptxCynthia Clay
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Accpac to QuickBooks Conversion Navigating the Transition with Online Account...PaulBryant58
This article provides a comprehensive guide on how to
effectively manage the convert Accpac to QuickBooks , with a particular focus on utilizing online accounting services to streamline the process.
Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
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Finding and communicating the story in qualitative information - Lesson 2
1. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Finding
and
Communica-ng
the
Story
Lesson
2
of
6
Working
with
Qualita-ve
Informa-on
Ray
Poynter
April
2016
2. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Series
Schedule
• An
Introduc5on
and
Overview
-‐
Feb
23
• Working
with
Qualita-ve
Informa-on
–
Apr
5
• Working
with
Quan5ta5ve
Informa5on
-‐
May
26
• Working
with
mul5ple
streams
&
big
data
-‐
July
5
• U5lizing
visualiza5on
–
Sep
13
• Presen5ng
the
story
-‐
Nov
8
3. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Agenda
• Overview
of
the
Frameworks
approach
• Qualita5ve
informa5on
• Qualita5ve
analysis
• Finding
the
story
in
qualita5ve
informa5on
• Communica5ng
qualita5ve
messages
4. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
The
Frameworks
Approach
1. Define
and
frame
the
problem
2. Establish
what
is
already
known
– And,
what
is
believed/expected
3. Organise
the
data
to
be
analysed
4. Apply
systema5c
analysis
processes
5. Extract
and
create
the
story
5. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Who
is
the
project
for?
_________________
What
is
the
business
issue/problem
that
is
being
addressed?
__________________________________________________
What
does
the
business
want
to
do,
once
it
has
addressed
this
issue?
______________________________________________________
What
do
we
already
know?
Item
Held
by:
Descrip-on
1
______
______
______________
2
______
______
______________
3
______
______
______________
Assump-ons
and
predic-ons
Who
What
1.
______
______
2.
______
______
Simplified
6. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
What
is
Qualita-ve?
No
single,
perfect
descrip5on
– Defini5ons
oen
a
ma]er
of
degree
• Qual
includes
human
judgements
as
part
of
the
analysis
– Quant
is
algorithmic,
removing
or
minimising
the
human
role
• Qual
is
about
meaning
and
understanding
– Quant
is
about
quan5fica5on
• Qual
deals
with
all
sorts
of
informa5on,
including
unstructured
– Quant
requires
the
data
to
become
structured/opera5onalised
• Qual
looks
at
within
case
informa5on
(≈
lots
of
informa5on
about
a
few
people)
– Quant
looks
at
across
cases
informa5on
(≈
small
amount
of
informa5on
about
lots
of
people)
7. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
What
is
Qualita-ve?
Which
is
the
best
door
for
our
building?
Focus
Group
or
IDIs
Determine
A
is
preferred
by
le-‐handed
people,
and
B
by
right-‐handed
people.
Perhaps
find
out
that
one
group
is
more
insistent
than
the
other
-‐
Qual
A
B
Ethnographical
approach
Watch
people
tackling
a
variety
of
doors,
plus
other
objects.
Determine
people
who
tend
to
favour
their
le
prefer
A
and
visa
versa
-‐
Qual
Usability
Professional
Assesses
the
op5ons
based
on
experience
and
criteria
-‐
Qual
Or,
apply
a
fixed
scoring
system
-‐
Quant
Survey
People
Discover
90%
prefer
B
–
Quant
Or,
include
le/right
handed
variable,
find
right-‐
handed
people
prefer
B
–
Quant
Or,
include
open-‐ended
ques5on
on
why,
some
people
cite
handedness
–
Quant
with
some
Qual
Picking
the
best
door?
Qual
8. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Quant
starts
as
Qual
A. How
many
drinks
did
you
have
today?
– What
is
a
drink?
2
sips
from
a
bo]le
versus
2
sips
from
a
fountain?
2
separate
glasses
of
wine
versus
a
glass
of
wine
that
was
topped
up?
B. Agree
Strong,
Agree,
Neither
Agree
Nor
Disagree,
Disagree,
Disagree
Strongly?
– In
the
mind
of
the
par5cipant
there
are
no
numbers,
they
pick
an
answer
which
they
believe
best
reflects
their
view
9. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Opera-onalizing
From
Qual
to
Quant
Qual
is
analysed
by
a
human*,
quant
employs
an
algorithm
If
we
code
qual
data
and
count
the
codes,
we
convert
from
qual
to
quant,
via
opera5onalizing
– Brand
men5ons
– Likes
and
Dislikes
– Sen5ment
– Marking
an
essay
– Evalua5ng
people
for
mental
health
disorders
Tendency
to
treat
this
quant
as
‘hard’
data,
and
the
underlying
qual
as
‘so’
10. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Computers
& Qualita-ve
Analysis
• Scissors
&
coloured
pens
è
Word,
Excel
etc
• CAQDAS
–
Computer
Aided
Qualita5ve
Data
Analysis
Soware,
e.g.
Nvivo
• Text
analy5cs,
from
word
clouds
to
Leximancer
• Social
Media
analysis,
e.g.
Brandwatch
&
Radian
6
• Coding
soware,
e.g.
Ascribe
• Photos
and
Video
organising,
e.g.
Google
Photos
and
Living
Lens
Your
organisa5on’s
Framework
should
specify
the
tools
to
be
used,
storage
protocols,
and
approaches
to
things
like
memos,
tags,
and
notes.
11. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
AI
and
Qual
At
some
point
in
the
future,
and
maybe
somewhere
in
the
world
today,
it
might
be
possible
for
qual
data
to
be
analysed
by
AI
instead
of,
or
as
well
as,
humans.
12. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Organising
Exis-ng
Knowledge
• Include
qual
and
quant
knowledge
• Stakeholders
summarise
what
is
known
and
what
they
think
the
research
will
show
• Make
the
data*
accessible
– Transcripts,
transla5ons,
video
libraries,
photo
galleries
– Consider
computer
tools
like
NVivo
13. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Qualita-ve
Data?
• Notes
created
by
researchers
when
observing,
listening,
discussing
with
par5cipants
• Open-‐ended
comments
in
interviews,
focus
groups,
surveys
etc
• Posts
in
Social
Media
• Le]ers
• Videos,
recordings,
transcripts
• Art
• Meals,
clothes,
trash
• Theatre,
cinema
• Play,
ac5vi5es,
interac5ons
• Objects
• Photographs
&
recordings
• Observa5on
&
passive
data
Many
of
these
can
also
be
called
artefacts
(ar5facts
in
North
America)
14. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Symbiosis
of
Collec-on
and
Analysis
Establish
the
Ques5on
and
what
is
Known,
Plan
Research
Do
Research
Analyse
Update
plan
Analyse
Story
15. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Academic
versus
Commercial
Analysis
of
Qualita-ve
Data
Many
techniques
are
used
by
both,
e.g.
conversa5on
analysis,
grounded
theory,
etc
But!
– Timelines
vary,
commercial
one
day
to
one
week,
academic
can
be
months
– Success
can
vary,
commercial
=
be]er
business
decision,
academic
=
advancing
knowledge
(academic
defini5on
of
knowledge)
– Purity
of
methodology,
academic
more
pure,
commercial
more
pragma5c
(which
oen
means
using
hybrids)
16. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Common
Analy-cal
Approaches
• Grounded
Theory
–
created
by
Glaser
&
Strauss
in
the
1960s
adopts
a
formal
approach
to
coding
the
data,
linking
the
codes
into
concepts,
linking
these
into
categories,
and
crea5ng
an
overarching
structure.
Tends
to
require
plenty
of
5me.
Tries
to
ignore
exis5ng
theories
–
increasing
sensi5vity
to
the
content
of
the
data.
Induc5ve
approach,
general
theories
from
specific
observa5ons.
• Abduc-ve
Analysis
–
compares
the
data
with
the
theories
and
expecta5ons,
iden5fy
the
non-‐expected
and
leap
(abduct)
from
these
observa5ons
to
a
new
theory
that
is
sufficient
and
probably
correct/plausible.
• Content
Analysis
–
is
popular
both
with
tradi5onal
researchers
and
those
seeking
to
computerise
some
or
all
of
qualita5ve
analysis.
As
with
other
approaches,
the
data
is
coded
and
categorised,
but
in
content
analysis
the
frequency
of
codes
and
categories
and
the
frequency
of
links
between
them
is
taken
into
greater
account
that
with
most
other
methods.
The
use
of
‘’coun5ng’
increases
the
importance
of
sampling
when
using
content
analysis.
17. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Common
Analy-cal
Approaches
• Narra-ve
Analysis
–
focuses
on
the
en5re
text,
not
subdivided
components.
Enter
the
text
(coding/memoing),
interpre5ng,
verifying
(e.g.
alterna5ve
explana5ons),
represen5ng
(write
the
plot
of
the
story),
illustra5ng
(e.g.
finding
quotes,
drawing
diagrams).
• Conversa-on
Analysis
–
is
one
form
of
Discourse
Analysis,
CA,
Conversa5on
Analysis,
was
developed
from
the
work
of
Harvey
Sacks’
work
in
the
1960s
&
1970s.
CA
looks
at
how
people
speak,
the
pa]erns
they
use,
how
they
create
meaning,
for
example:
turn-‐taking,
repairs,
dispreferred
responses.
Conversa5on
analysis
pays
less
a]en5on
to
what
people
say
than
the
way
they
say
it.
• Thema-c
Analysis
–
the
focus
is
to
generate
themes
from
the
data.
In
par5cular
pa]erns
(e.g.
codes
and
categories)
are
iden5fied
in
the
early
data
(e.g.
the
first
interviews
or
focus
groups)
and
then
used
as
tools
to
analyse
subsequent
data.
One
difference
between
thema5c
and
grounded
theories
is
that
grounded
theory
seeks
to
create
a
broader
theory,
thema5c
analysis
tends
to
be
happy
to
create
a
narra5ve
to
explain
the
data.
18. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Semio-cs
Semio-cs
was
developed
from
the
work
of
Ferdinand
de
Saussure
from
the
later
19thCentury
onwards.
Semio5cs
is
the
study
of
meaning-‐making
by
looking
at
the
use
of
signs
and
symbols
(which
can
be
any
form
of
data,
including
worlds,
brands,
images,
sounds
etc.)
Semio5cs
does
not
require
the
collec5on
of
data
from
research
par5cipants;
semio5cs
if
frequently
conducted
with
artefacts
that
exist
in
the
‘real
world’
rather
than
in
an
MR
created
world.
However,
semio5cs
can
be
applied
to
MR
data,
just
as
it
can
be
applied
to
any
other
data.
Sign
Signified
Signifier
Sign
Rose
Sign
Passion
Rose
Sign
Passion
19. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Overarching
Structure
No
uniform
No
books
Travel
costs
School
fees
Worry
Mind
elsewhere
Tired
in
School
Headaches
Lack
school
materials
Unable
to
pay
school
costs
Worry
about
dependents
Feeling
exhausted
Physically
&
emo5onally
stressed
Can’t
afford
school
These
children
have
tangible
problems
Adapted
from
www.open.edu/openlearnworks/mod/resource/view.php?id=52658
20. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Deciding
What
to
Believe
and
What
to
Interpret
Less
believable
– Yes,
I
always
give
my
children
healthy
snacks
– Yes,
I
will
buy
this
new
product
– I
always
remember
to
take
my
medicine
– I
buy
on
value,
not
because
of
the
adver5sing
More
believable
– I
have
two
children
– No,
I
did
not
like
it
– I
think
men
will
like
this
more
than
women
– Which
of
these
three
is
the
odd
one
out?
– Why
is
it
the
odd
one
out?
21. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Popular
Internet
meme
22. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Why
‘Just
Say
No!’
is
Not
so
Easy
Just
Say
No?
The
Use
of
Conversa5on
Analysis
in
Developing
a
Feminist
Perspec5ve
on
Sexual
Refusal,
Celia
Kitzinger,
1999
23. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Common
Analy-cal
Elements
• Saturated
analysis
–
keep
going
un5l
you
stop
finding
new/useful
things
• Structure
–
find/create
an
architecture
to
what
you
find
• Make
notes
of
what
you
find,
linking
back
to
the
data,
highligh5ng
examples
• Look
to
support
AND
break
hypotheses
24. Conversa5on
Analysis
Q.
What
did
you
take
into
account
when
you
decided
to
buy
this
new
technology?
What
did
we...
we
looked
at
cost,
we
looked
at
reliability
and
we
sort
of,
we
compared
a
few
different
types,
talked
to
some
people
that
had
them.
Q.
When
you
say
you
talked
to
some
people
who
were
they?
Some
dental
colleagues.
There's
a
couple
of
internet
sites
that
we
talked
to
some
people...
people
had
tried
out
some
that
didn't
work
very
well.
Q.
So
in
terms
of
materials
either
preven5ve
materials
or
restora5ve
materials;
what
do
you
take
in
account
when
you
decide
which
one
to
adopt?
Well,
that's
a
good
ques5on.
I
don't
know.
I
suppose
we
[laughs]
look
at
reliability.
I
suppose
I've
been
looking
at
literature
involved
in
it
so
I
quite
like
my
own
li]le
research
about
that,
because
I
don't
really
trust
the
research
that
comes
with
the
product
and
once
again
what
other
den5sts
are
using
and
what
they've
been
using
and
they're
happy
with.
I'm
finding
the
internet,
some
of
those
internet
forums
are
actually
quite
good
for
new
products.
Conversa-on
Analysis
Pauses/Repairs/Disconnects:
Person
is
portraying
that
they
are
not
confident.
Restructured
answer
“Well,
that’s
a
good
ques5on.”
–
Indicates
the
ques5on
was
not
a
good
ques5on,
deals
with
it
by
saying
‘Don’t
know’
and
then
proceeds
to
answer
what
he/she
thinks
the
ques5oner
is
hoping
to
learn.
From
an
example
of
Grounded
Theory
www.biomedcentral.com/imedia/4037816045634649/supp3.doc
25. Discourse
Analysis
Q.
What
did
you
take
into
account
when
you
decided
to
buy
this
new
technology?
What
did
we...
we
looked
at
cost,
we
looked
at
reliability
and
we
sort
of,
we
compared
a
few
different
types,
talked
to
some
people
that
had
them.
Q.
When
you
say
you
talked
to
some
people
who
were
they?
Some
dental
colleagues.
There's
a
couple
of
internet
sites
that
we
talked
to
some
people...
people
had
tried
out
some
that
didn't
work
very
well.
Q.
So
in
terms
of
materials
either
preven5ve
materials
or
restora5ve
materials;
what
do
you
take
in
account
when
you
decide
which
one
to
adopt?
Well,
that's
a
good
ques5on.
I
don't
know.
I
suppose
we
[laughs]
look
at
reliability.
I
suppose
I've
been
looking
at
literature
involved
in
it
so
I
quite
like
my
own
li]le
research
about
that,
because
I
don't
really
trust
the
research
that
comes
with
the
product
and
once
again
what
other
den5sts
are
using
and
what
they've
been
using
and
they're
happy
with.
I'm
finding
the
internet,
some
of
those
internet
forums
are
actually
quite
good
for
new
products.
DA
-‐
Foo-ng
The
role
the
den5st
is
filling?
Somebody
who
is
not
confident,
and
who
is
doub}ul
about
the
sources
available
to
him/her.
26. Discourse
Analysis
Q.
What
did
you
take
into
account
when
you
decided
to
buy
this
new
technology?
What
did
we...
we
looked
at
cost,
we
looked
at
reliability
and
we
sort
of,
we
compared
a
few
different
types,
talked
to
some
people
that
had
them.
Q.
When
you
say
you
talked
to
some
people
who
were
they?
Some
dental
colleagues.
There's
a
couple
of
internet
sites
that
we
talked
to
some
people...
people
had
tried
out
some
that
didn't
work
very
well.
Q.
So
in
terms
of
materials
either
preven5ve
materials
or
restora5ve
materials;
what
do
you
take
in
account
when
you
decide
which
one
to
adopt?
Well,
that's
a
good
ques5on.
I
don't
know.
I
suppose
we
[laughs]
look
at
reliability.
I
suppose
I've
been
looking
at
literature
involved
in
it
so
I
quite
like
my
own
li]le
research
about
that,
because
I
don't
really
trust
the
research
that
comes
with
the
product
and
once
again
what
other
den5sts
are
using
and
what
they've
been
using
and
they're
happy
with.
I'm
finding
the
internet,
some
of
those
internet
forums
are
actually
quite
good
for
new
products.
DA
–
Repe--on
Reliability
&
“Internet
sites”
No
repe55on
of
cost.
Cost
is
a
‘preferred
response’
–
it
is
used
and
discarded.
27. Discourse
Analysis
Q.
What
did
you
take
into
account
when
you
decided
to
buy
this
new
technology?
What
did
we...
we
looked
at
cost,
we
looked
at
reliability
and
we
sort
of,
we
compared
a
few
different
types,
talked
to
some
people
that
had
them.
Q.
When
you
say
you
talked
to
some
people
who
were
they?
Some
dental
colleagues.
There's
a
couple
of
internet
sites
that
we
talked
to
some
people...
people
had
tried
out
some
that
didn't
work
very
well.
Q.
So
in
terms
of
materials
either
preven5ve
materials
or
restora5ve
materials;
what
do
you
take
in
account
when
you
decide
which
one
to
adopt?
Well,
that's
a
good
ques5on.
I
don't
know.
I
suppose
we
[laughs]
look
at
reliability.
I
suppose
I've
been
looking
at
literature
involved
in
it
so
I
quite
like
my
own
li]le
research
about
that,
because
I
don't
really
trust
the
research
that
comes
with
the
product
and
once
again
what
other
den5sts
are
using
and
what
they've
been
using
and
they're
happy
with.
I'm
finding
the
internet,
some
of
those
internet
forums
are
actually
quite
good
for
new
products.
DA
–
Evalua-ve
terms
I
quite
like
my
own
li]le
research
I
don’t
really
trust
the
research
that
comes
with
the
product
Some
of
those
internet
forums
are
actually
quite
good
for
new
products
28. DA
Thoughts
Q.
What
did
you
take
into
account
when
you
decided
to
buy
this
new
technology?
What
did
we...
we
looked
at
cost,
we
looked
at
reliability
and
we
sort
of,
we
compared
a
few
different
types,
talked
to
some
people
that
had
them.
Q.
When
you
say
you
talked
to
some
people
who
were
they?
Some
dental
colleagues.
There's
a
couple
of
internet
sites
that
we
talked
to
some
people...
people
had
tried
out
some
that
didn't
work
very
well.
Q.
So
in
terms
of
materials
either
preven5ve
materials
or
restora5ve
materials;
what
do
you
take
in
account
when
you
decide
which
one
to
adopt?
Well,
that's
a
good
ques5on.
I
don't
know.
I
suppose
we
[laughs]
look
at
reliability.
I
suppose
I've
been
looking
at
literature
involved
in
it
so
I
quite
like
my
own
li]le
research
about
that,
because
I
don't
really
trust
the
research
that
comes
with
the
product
and
once
again
what
other
den5sts
are
using
and
what
they've
been
using
and
they're
happy
with.
I'm
finding
the
internet,
some
of
those
internet
forums
are
actually
quite
good
for
new
products.
The
story?
The
den5st
lacks
confidence,
he/
she
men5ons
cost,
but
comes
back
to
the
topic
of
reliability.
He/she
distrusts
the
research
from
the
manufacturers,
so
tries
to
do
his/her
own
research,
by
connec5ng
with
people
who
have
used
the
new
products,
via
internet
forums
Sales
Recommenda-on
Connect
this
type
of
den5st
with
happy
users.
Encourage
reliability
tes5monials
and
SM
posts.
29. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Word
Clouds?
A
weak
form
of
qualita5ve
analysis
Can
be
an
entry
point,
some5mes
Can
be
useful
in
communica5ng
the
story
30. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Finding
the
Story
• Use
the
client’s
ques5on
as
the
lens
• Tag,
code,
memo
the
material
as
you
analyse
• Challenge
what
is
known/believed
• Find
the
main
story
• Find
the
relevant
excep5ons/differences
• Create
an
overall
structure,
the
plot
• Is
it
good
news
or
bad
news?
31. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Finding
the
Story
• Use
the
client’s
ques5on
as
the
lens
– What
does
success
look
like?
– What
ac5ons
are
pending
on
the
results?
– What
do
people
think
is
true?
– What
do
people
think
the
results
will
be?
32. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Good
and
Bad
News
• There
are
four
typical
stories
– Good
news
– Good
news
with
caveats
– Bad
news
with
some
op5ons
– Bad
news
• The
storytelling
for
these
four
cases
is
different
• Good
news
and
bad
news
is
defined
by
what
the
client
wanted
AND
what
the
research
finds
33. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Bad
News
• 5
stages
of
grief
– Anger,
Denial,
Bargaining,
Depression,
Acceptance
• One
presenta5on/report
rarely
tackles
all
the
stages
of
bad
news
• ‘Facts’
are
rarely
enough
to
persuade
– Emo5ons
are
the
key
–
a
customer
video
can
be
more
powerful
than
any
amount
of
analysis
• Go
back
to
a
point
where
the
expecta5ons
match
the
findings
and
build
from
there
34. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Conveying
Confidence
• Confidence
is
created
by
the
researcher
• Don’t
convey
more
confidence
than
you
have
– Don’t
convey
less
confidence
• U5lise
– Triangula5on
– Testable
predic5ons
– Consistency
– Coherence
35. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Case
Study
Calvin
Klein,
semio5cs
study
by
Semio5cs
Analysis
The
problem
– 1980s
success
Obsession
– 1990s
success
Eternity
– 2000s
failure
e.g.
Truth
– Why
and
what
should
CK
do
next?
RW
Connect,
Greg
Rowland,
2014
h]ps://rwconnect.esomar.org/semio5cs-‐the-‐billion-‐dollar-‐case-‐study/
36. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Case
Study
The
story
– CK
success
based
on
codes
of
modernism
– CK
failure
linked
to
using
industry
codes
– Use
modernism
Good
news?
Bad
news?
– Depends
on
what
CK
believed
– If
they
wanted
modernism,
simply
urge
them
forward
– If
they
liked
the
new
codes,
take
them
back
to
success
and
build
the
story
from
there
37. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Case
Study
1980s
✔
1990s
✔
2000s
✗
$Billions
✔
38. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
The
Big
Picture
• Frameworks
for
reliable
/
effec5ve
stories
• Define
the
problem
• Organise
the
data
according
to
the
Framework
–
everybody
using
the
same
tools
and
approaches
• Find
the
main
story
and
build
out
from
there
• Is
it
good
or
bad
news,
confirming
or
challenging
expecta5ons/beliefs
• Engaging,
memorable,
simple
story
39. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Schedule
• An
Introduc5on
and
Overview
-‐
Feb
23
• Working
with
Qualita-ve
Informa-on
–
Apr
5
• Working
with
Quan5ta5ve
Informa5on
-‐
May
26
• Working
with
mul5ple
streams
&
big
data
-‐
July
5
• U5lizing
visualiza5on
–
Sep
13
• Presen5ng
the
story
-‐
Nov
8
40. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Thank
You!
Follow
me
on
Twiber
@RayPoynter
Or
sign-‐up
to
receive
our
weekly
mailing
at
hbp://NewMR.org
41. Finding
and
Communica-ng
the
Story
–
Lesson
2
of
6
–
Qualita-ve
Informa-on
Ray
Poynter,
2016
Q
&
A
Ray
Poynter
The
Future
Place