data placemats: a dataviz technique to improve stakeholder understanding of evaluation results

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Data placemats draw on dataviz and facilitation to engage stakeholders in data analysis, leading to improved findings and recommendations.

TRANSCRIPT

A DataViz Technique to Improve Stakeholder Understanding of

Evaluation Results

Data Placemats

Veena Pankaj@veenapankaj

Thursday, October 16, 2014Evaluation 2014, Denver ColoradoAmerican Evaluation Association

Participants

Round 1 Round 2 Round 3

WKCF 143 154 168

GKCF 34 45 102

Planning

Analysis & Reflection

Action & Improvement

Data Collection

ParticipatoryEvaluation

StakeholderInvolvement

EvaluationUse

The Learning JourneyData Placemats

Pankaj & Emery, in press.

The Learning JourneyData Interpretation Meeting

http://www.flickr.com/photos/usnationalarchives/5657879417/

The Learning JourneyFacilitation

12

3

Phases

1 Before the data interpretation meeting

2 During the data interpretation meeting

3 After the data interpretation meeting

The Learning Journey

1 Before the Data Interpretation Meeting

Before the data interpretation meeting Conduct Preliminary Analysis1

Before the data interpretation meeting Design the placemats1

Design the placemats1

Pankaj & Emery, in press.

Design the placemats1

Design the placemats1

Pankaj & Emery, in press.

Before the data interpretation meeting Determine who should attend1

Stakeholders

Schedule the Meeting1

Gather Materials1 Print a set of placemats for each

participant

Have access to additional data and charts

Come prepared with a list of “back-pocket” themes

Bring highlighters & markers

Design a basic agenda

Facilitation1

Technical Capacities

Data analysis Preparing meeting materials Designing placemats

1 23

2 During the Data Interpretation Meeting

Explain the Process2

Purpose

Format

Walk through each Placemat2

What does this

data tell you?

What surprises

you about this

data?

What factors may

explain some of

the trends we are

seeing?

Does this lead to

any new

questions?

Facilitation2

Adaptive Capacities Perceiving and interpreting Flexibility Nurture productive dialogue Rely on intuition and instinct

12

3

3 After the Data Interpretation Meeting

Conduct Additional Analysis3

Prepare the Final Deliverable3

The Learning JourneyWorks best when….

stakeholders are invested in the program

stakeholders are invested in the evaluation

driven by the desire to learn and improve

Benefits of Participatory Data Analysis

Interest & Engagement1

2

3 Evaluation Use

High Quality Analysis

Data Placemats: A DataViz Technique to Improve Stakeholder

Understanding of Evaluation Results

Thank You!

Veena Pankaj@veenapankaj

Thursday, October 16, 2014Evaluation 2014, Denver ColoradoAmerican Evaluation Association

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