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Local government professionals agree that evidence-based decision making is the best practice. Even so, the majority of cities don’t use data for their strategic planning processes. The truth is the overwhelming mountain of “big data” often paralyzes action.
So how can leaders harness the right community data in the most practical ways for the best return? In this certificate program, Polco data science experts will teach the best ways to incorporate community information into the planning process. Data-Driven Decision Making Plus leaders will use the learnings from these sessions to create a capstone project. Data-Driven Decision Making Plus participants can choose an internal project (organizational climate) or external project (strategic planning, public engagement plan, or apply for another) to be the focus of their capstone work. Leaders will learn how to capture the right data and ensure community and/or staff feedback is truly representative.
What Is Data-Driven Decision Making?
Instead of using simple intuition, assumptions, and/or anecdotes, data-driven decision making (DDDM) gives sound credence to new policies and initiatives. DDDM brings together appropriate data sources, analysis, and metrics to help inform choices, reasoning, and actions.
Advantages of Data-Driven Decision Making
Data-driven decision making increases inclusivity, defensibility, and the opportunity for performance measurement. Most importantly, DDDM increases the likelihood that government leaders and staff decisions produce the desired outcomes.
Learning Objectives
- Learn the best practices to gather data and how to formulate questions data can help answer.
- Understand how to use data to make better decisions for strategic planning, budgeting, and performance measurement.
- Understand how to design a sustainable data-driven performance measurement system that can help track overall performance in a meaningful way.
- Discover promising practices in transparency and accountability to build government trust at the local level.
Two Tracks Available:
Track 1: Data-Driven Decision Making.
Track 1 allows the registrant to participate in Modules 1 through 6, meeting all four learning objectives and receive an ICMA certificate of completion.
Begins: February 17, 2027 and ends May 5, 2027
Registration Fee: Member Price $649.00 / Non-Member Price $1,299.00
Track 2: Data-Driven Decision Making Plus (Capstone).
Track 2 provides all the benefits of Track 1 plus the opportunity to receive coaching as you use what you have leaned to make a positive impact for your organization through a capstone project earning a Data-Driven Decision Making Mastery certificate.
Begins: February 17, 2027 and ends June 30, 2027
Registration Fee: Member Price $849.00 / Non-Member Price $1,499.00
Schedule
February 17, 2027
Module 1: Strengthening Resident Confidence in Local Decision Making
March 3, 2027
Module 2: Measuring What Matters
March 24, 2027
Module 3: Using Data to Drive Internal Change
April 7, 2027
Module 4: Using Data to Improve Community Livability
April 21, 2027
Module 5: Performance Measurement
May 5, 2027
Module 6: Putting Data to Work
May 19, 2027
Capstone coaching begins
ICMA September 2027 Annual Conference - Final capstone presentation
(Attendance at ICMA's Annual Conference is encouraged but not mandatory.)
All modules begin and end as follows:
- Pacific Time: 12:00pm PT 1:30pm PT
- Mountain Time: 1:00pm MT to 2:30pm MT
- Central Time: 2:00pm CST to 3:30pm CST
- Eastern Time: 3:00pm ET to 4:30pm ET
Polco Facilitator:

Michelle Kobayashi, Senior Vice President of Innovation
Michelle Kobayashi is a thought leader in the field of survey research and evaluation, and has written numerous books and articles on the subject. As a community survey expert with experience working in local government, she travels the country to speak professionally and lead workshops on resident surveys, performance measurement, strategic planning, and more. Kobayashi has led the innovation efforts of National Research Center for nearly 30 years, and keeps Polco / NRC on the cutting edge of the survey industry.
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