Speaking in Numbers...Speaking in Numbers Strategic Data Communication Principles and Practices 1...
Transcript of Speaking in Numbers...Speaking in Numbers Strategic Data Communication Principles and Practices 1...
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Speaking in NumbersStrategic Data Communication Principles and Practices
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What we will cover…1. The Data Communication Framework2. The Data Communication Process
– Analyze the audience– Analyze the data– Visualize for key insights– Communicate for impact
3. Data Communication for Advocacy
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But wait. What is strategic data communication?
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In short: Supplying the right audienceWith the right amount of dataIn the right format
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Okay.Why does it matter?
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New & improved strategies for producing, analyzing, & applying data allows HMIS and CoC staffto become curators and translators of data, using it to inform, inspire and enhance engagement.
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The Data Communication Framework
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The Strategic Communications FrameworkComponents1. The communication goal(s)2. The audience3. The channel or tactics4. The message frame
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The Strategic Data Communications FrameworkHello, Data Pyramid!Data communication converts dataand information into knowledge…
and bridges the gap between thosewith high data literacy and thosewho don’t traditionally traffic in data.
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The Data Communication Framework
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Commun-ication
strategyData translation strategy Impact
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The Data Communication Framework
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Commun-ication
strategyImpact
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The Data Communication Process
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The Audience
The Data
The Insights
The Story
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The Audience
The Data
The Insights
The Story
Analyze the Audience
Consider the data user roles of your audience and how their roles imply specific data communication strategies
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The Audience
The Data
The Insights
The Story
Analyze the AudienceData User Role Description
Data Consumer
Interested and engaged. If the data trigger action, may move into a more active role. Typically have little data and domain expertise.
Data ActorAct on and leverage the data to drive change. May have significant clout, staff and domain knowledge but limited time.
Data Promoter
Leverage data to create additional value: they inform, educate or build products around data. They multiply the audience and may influence consumers and actors.
Data Analyst
Use data to create depper understanding. Have deep domain knowledge and extensive data knowledge.
Data Researcher
Work in the trenches to collect, analyze, and synthesize data for the groups above. May perform data collection and analysis themselves.
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The Audience
The Data
The Insights
Analyze the AudienceData User Role Audience Examples Tools/ Type
Data Consumer
News consumers, general public, alliesInfographics, narrative visualizations and/or data stories
Data ActorCitizen activists, policy makers, local officials, Board members
Press releases, reports, briefs, interactive visualizations
Data Promoter
Journalists, bloggers, advocates, data geeks
Exploratory data visualizations, query tools
Data Analyst
Domain experts, technical staff, program directors, staffers for decision makers,
Data dashboards, query tools
Data Researcher
Researchers, academics, subject matter experts
Query tools, exploratory dashboards, data repository, data dictionary
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The Audience
The Data
The Insights
The Story
Analyze the Data• The level of data analysis/
disaggregation should be influenced by audience needs
• It’s a time saver to go into the process planning for this
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The Audience
The Data
The Insights
The Story
Analyze the DataRules of thumb:• Use rates instead of counts• Remove unnecessary precision – e.g.,
round up/down your numbers to eliminate decimal places
• Use the data analysis phase as your opportunity to pause, understand, interpret exactly what you are seeing
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The Audience
The Data
The Insights
The Story
Visualize for InsightBest practices1. Know which viz type: Exploratory or
Explanatory?
2. Incorporate data viz best practices:• Chart Choice• Declutter• Colorize• Contextualize
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The Audience
The Data
The Insights
The Story
Visualize for InsightExploratory or Explanatory?Exploratory• Who: For data reporters, analysts and
researchers with moderate-to-advanced data literacy.
• Strategy: Requires that users devise their own exploratory processes and reach their own conclusions, without data translation.
• Technique: Data dashboards, data download tools.
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The Audience
The Data
The Insights
The Story
Visualize for InsightExploratory or Explanatory?Explanatory• Who: For data actors and promoters, such
as local officials/policy makers, civic activists, the wide audience of stakeholders and the general public.
• Strategy: Narrative and/or guided data reporting strategies.
• Technique: Scrollytelling, interactive data reports, 1-2pp data briefs.
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The Audience
The Data
The Insights
The Story
Visualize for InsightData Viz Best Practices• Chart Choice• Declutter• Deploy Color• Clarify
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The Audience
The Data
The Insights
The Story
Chart ChoiceRules of thumb- Trends over time = line graph- Parts of whole = pie chart- Comparison of groups = bar charts- Ranked comparisions = vertical bar charts- Processes or flows = Sankey diagrams
See more at the interactive chart chooser
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The Audience
The Data
The Insights
The Story
Declutter: Remove to Improve
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The Audience
The Data
The Insights
The Story
Color: Use to guide the storyBefore
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The Audience
The Data
The Insights
The Story
After
color encoding
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The Audience
The Data
The Insights
The Story
Color: To convey data type and thus provide organizing principles
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The Audience
The Data
The Insights
The Story
Clarify
• Storytelling titles: Say what you see• Use hierarchical text• Annotate• Use tooltips (if interactive)• Use information icons
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The Audience
The Data
The Insights
The Story
annotation
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The Audience
The Data
The Insights
The Story
storytelling title
hierarchical text
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The Audience
The Data
The Insights
The Story
Visualize for Insight
Great Resources:• Data viz checklist• Rate your data viz
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The Audience
The Data
The Insights
The Story
Rate your data viz
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Communicate for Impact1. Craft an effective message2. Enhance engagement
The Story
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The Audience
The Data
The Insights
The Story
Create an effective message
Tip #1: Use the 5 Ws– Who– What– When– Where– Why
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The Audience
The Data
The Insights
The Story
Create an effective message
Tip #2: Use plain language– Avoid acronyms and jargon– Avoid stigmatizing language– Use universal data literacy principles
(white space, images, readability analysis)
– Use numerals properly: e.g., spell out numbers at the beginning of sentences
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The Audience
The Data
The Insights
The Story
Create an effective message
Tip #3: Create an elevator pitchIn 5 minutes or less, tell your whole story:1) The population affected2) The key insight3) The key actions that will have impact4) The long-term change that can happen
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The Audience
The Data
The Insights
The Story
Enhance engagement
Tip #1: Customize and localizeTip #2: Use sidebars and user notesTip #3: Use action steps and/or calls to actionTip #4: Provide contact info
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The Audience
The Data
The Insights
The Story
Communicate for ImpactGreat resources:• 6 principles checklist• Communicating data
worksheet
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Vizperation
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Engaging the Public Advocacy goals when providing public data• Education and information• Expand public discourse• Build public support• Promote engagement
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Public support and engagement leads to…• Increased investment and resources• Improved policies• Increased housing opportunities• Improved outcomes• Reduced homelessness
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Engaging the Public … is failing complicated?Recent research reveals that our public messaging may be ineffective.
“Public audiences can be tough to influence; may not have time to listen to all of the facts and data we have to offer… and are not won over by the sad stories we have to tell about the growing number of individuals who are facing impossible housing constraints.
“Our pie charts, facts, and figures have limited utility when people feel disconnectedfrom housing as a shared public concern.”
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Why?
The Backfire Effect
The Solution?
Connecting to public concernsbyCounteracting the backfire effect
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Engaging the Public … is difficult possibleEvidence-based messaging strategies• Data and research cannot BE the message but should enhance the
message.• Tell stories that balance the people, places, and systems perspectives. • Tell a “Story of Us” rather than a “Story of Them.”• Broaden the impact: Bring the connection between housing and other issues
into sharper focus.• Use language about home, and community, instead of over-relying on the
terms of housing, affordable housing, or permanent housing.
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