From Data to Insights: Turning Network Data into Community Impact with PARTNER CPRM - Webinar Slides

How do you turn complex community data into actionable insights?

These slides from Visible Network Labs’ From Chaos to Clarity webinar series explore how to move beyond data collection and mapping to uncover real meaning and impact within your ecosystem of partners.

This presentation (“From Data to Insights: Turning Ecosystem Data into Impact”) walks through the practical tools, methods, and examples that help organizations see, analyze, and strengthen the networks that drive their missions forward.

Inside the slides, you’ll find:

- An overview of network science concepts and why relationships matter in systems change work.
- A look at the PARTNER CPRM™ platform, including data visualization, mapping, and analysis tools.

Step-by-step demos of how to use tools like:

- Network Mapping
- Key Player Analysis
- GIS Maps
- Trust & Value Scores
- Charts & Tables
- The Insights Library

See multiple real-world case studies showing how network data reveal opportunities, gaps, and strengths in public health and community partnerships.

Leave with actionable frameworks for transforming data into shared understanding, collective learning, and measurable impact.

This slide deck is especially valuable for:

- Public health and human service professionals
- Network evaluators and community researchers
- Nonprofit and foundation teams managing collaborations
- Government agencies and systems-level leaders building cross-sector partnerships

If you’re looking to make invisible networks visible, and learn how to use ecosystem data for smarter decision-making, these slides provide a clear, example-rich guide to getting started.

About Visible Network Labs:
Visible Network Labs (VNL) is a social enterprise using network science to help organizations and communities strengthen relationships, build trust, and drive impact. The PARTNER CPRM™ platform combines relationship management, network mapping, and data analytics to help users understand and improve the ecosystems they depend on.

1. 2025
From Chaos to Clarity - Part 3
From Data to Insights: Turning Ecosystem
Data into Impact

2. Meet the Presenters
Dr. Danielle Varda
CEO & Founder, VNL
Dr. Jenny Lawlor
Director of Data Science & Insights, VNL

3. Introduce
Yourself


In the chat…

Let us know who you are, what
you work on, and why you are
interested in this topic.

4. Make Invisible
Networks Visible

5. The New Norm:
The Network Way of Working

6. -Intros
-How to map and analyze a network
in PARTNER CPRM
-3 Real-Life Examples
-Stay on for extra Q&A
Agenda

7. 1. Nodes:
Organizations, People
2. Relationships Between
the Nodes
What is a
network?

3 types
of data
3. Attributes

8. Sign-Up Now

9. The
Features
of the
PARTNER
CRPM

10. 4-Part Webinar Series: From Chaos To Clarity
1. Developing & Managing Your Community
Partner Ecosystem Member Database - Sep 11

2. Capturing Data from Your Community Partner
Ecosystem Members - Oct 1

3. From Data to Insights: Turning Ecosystem
Data into Impact - Oct 22

4. Sharing Ecosystem Data to Build Collective
Capacity - Nov 19

11. 1. Developing & Managing Your
Partnership Database

12. -Multiple spreadsheets/lists for
tracking partners (no single source
of truth)
-Existing tracking systems are not
easy to search, filter, or sort
-Existing systems use inconsistent
fields/terms to track partnerships
-Hard to track as partners have
turnover and contacts change
What makes tracking ecosystem members difficult?

13. In a CPRM, this includes:
-Getting all your partners out of
multiple lists and into one
system

-Storing all the attributes/fields
that you need to track

-Filtering & searching to identify
critical data when you need it

-Analyzing the data (looking at
trends, demographics, etc.) to
inform practice
Ecosystem Member Management

14. 2. Capturing Data From Your
Ecosystem Members

15. -Unsure of What to Ask
-Network Data is Complex
-Difficulties Engaging Partners
-Lack the Appropriate Tools to Ask
Network Questions
What makes capturing data from ecosystem
members difficult?

16. Find Survey Templates:
-Open “Questions”
-Click “Templates”

Coming Soon:
-Early Childhood & Maternal
Health Survey
-Service Provider Network Survey
-University-Community
Partnership Survey
-HIV Provider Network Survey
-8+ Additional Templates
On the Roadmap: New Survey Templates!

17. 3. Translating Your Data Into
Actionable Insights

18. 1. Hard to know where to start
2. Overwhelming, so hard to find meaning
3. Attempts to interpret in a silo (without members’ input
in what the data means)
4. More than a map - finding meaning in the data
5. Lack of clarity about what we are trying to answer
because we did not articulate it
What makes analyzing and translating
ecosystem data difficult?

19. 1. Good design of the survey/question set
2. Collaborating with partners to get the design right
3. Iterative data analysis and interpretation (with
members and stakeholders)
4. Narrowing on a few findings
5. Connecting each data point to an action step
What makes analyzing and translating
ecosystem rewarding and valuable?

20. From Data to Insights:
Exploring Your Ecosystem Data in PARTNER CPRM
TM
-DEMO -

21. Access:
-Click “Networks” under
‘Explore’
-Choose a Network and
click “Network Map”

Analysis:
-Color, Size, & Group Nodes by
Attributes & Survey Responses
-Color & Size Edges by Attributes
-Filter Nodes & Edges by
Attributes and Survey Responses
1. Network Mapping

22. Access
-Open the Insights Tab
in Network Map
-Click the “Key Players”
Button

Analysis
-Information Exchangers
-Network Brokers
-Most Often Selected
-Selected the Most Members
2. Key Player Analysis

23. Access
-Open Insights Tab
-Choose a Category
-Expand Tab for Easier
Reading

Analysis
-What The Science Says
-Questions To Consider
-VNL Advice
-Source Citations
3. Insights Library

24. Access
-Open Network Analyzer
-Click “GIS Map” in
top-right Menu

Analysis
-Geographic Node Clustering
-Community Data Base Layers
-Boundary Data Base Layers
4. GIS Mapping

25. Access
-Open Network Analyzer
-Click “Network Scores”
in top-right menu

Analysis
-Whole Network Scores
-Filtered Network Scores
-Sort Scores High -> Low
-View Summary Scores
-Export All Scores
5. Network Scores

26. Access
-Open Network Analyzer
-Click “Charts & Tables”
in the top-right menu

Analysis
-Charts: Display attributes and
survey responses
-Crosstabs: Compare patterns
across 2 data points
-Tables: Display open-ended
survey responses
6. Charts & Tables

27. Access
-Open Network Analyzer
-Click “Summary” in the
top-right menu

Analysis
-Questions: View all survey
responses and relationship data
-Attributes: View all custom
attributes and member data
-Download a PDF Report
7. Network Summary

28. Access
-Expand “Explore” Menu
-Click “Members”

Analysis
-Headers: Use for quick filtering
member lists
-Columns: Customize your view
-Filters: Choose advanced filters,
including attributes and survey
responses
-Download: CSV of filtered data
8. Member Data Analyzer

29. From Data to Insights:
Real-World Examples From the Field

30. Changes in Rural Suicide Prevention Networks for Veterans
Data Type: Attributes

31. Identifying Structural Change:
Shifts in an ACEs Network
Publication: Lawlor, Jennifer A. PhD; Puma, Jini PhD; Powers, Jamie N. PhD; Martinez, Marlayna BA; Varda, Danielle PhD; Leiferman, Jenn A.
PhD. Shifting Connections: Assessing Changes in a Rural Social Network Addressing Adverse Childhood Experiences Over Time. Journal of
Public Health Management & Practice 31(5):p 700-708, September/October 2025. | DOI: 10.1097/PHH.0000000000002143

32. Shifts in an ACEs Network
Time 1
Question Type: Relational,
Activities Engaged In Together

33. Shifts in an ACEs Network
Time 1 Time 2
Question Type: Relational,
Activities Engaged In Together

34. Shifts in an ACEs Network
Number of partners 219 397
Concentration of
leadership
(centralization)
.26 .36
Average partners per
member
3.71 6.85
Average path length 2.49 2.09
Average clustering
coefficient
.30 .42
Time 1 Time 2 What changed?
Question Type: Relational,
Activities Engaged In Together

35. Identifying Structural Change:
Networks for School Improvement

36. Interpretation: The most
growth in shared content from
2019 to 2023 occurred around
continuous improvement (19%
growth) and diversity, equity,
and inclusion (17% growth).
There was 24% less activity
around stakeholder engagement
from 2020 to 2023 (see Figure 3
below). In 2023, the most
commonly shared content
between Intermediaries and
their partners continued to be
continuous improvement (75%)
and measurement and
evaluation (41%), while 39% work
on problem specific content
knowledge (this was not a
choice in other years).
Question Type: Dyadic,
Activities Engaged In Together

37. Understanding Assets & Gaps:
Advocacy as a resource in JeffCo

38. Question Type: Non-Relational, Goldilocks
Resource Levels in the Network
Interpretation: When we
asked about the level of
available resources,
advocacy and policy
change was the top
response for having too
little for people serving
people in Jefferson County
(52%).

39. Question Type: Non-Relational
Resource Contribution

41. Building the Network:
Facilitating Relationship Development

43. ROLES THAT
ORGS CAN
PLAY IN
NETWORK
BUILDING

44. Part 4: Sharing Ecosystem Data to Build Collective Capacity
Nov 19 - 12:00pm MT

Register at visiblenetworklabs.com/webinars
Join the rest of the Webinar Series:
Beyond Capturing Data: Next Steps

45. Next Time: Sharing Data & Building Capacity
Part 4: Sharing Ecosystem
Data to Build Collective
Capacity

●November 19, 2025
●12:00-1:00 PM (MT)
●Free Webinar


Register now at:
visiblenetworklabs.com/webinars

46. Help Us
Learn:


In the chat…

Let us know if there are other
topics/skills that you would like to
see covered.

47. Next
Steps:



How to stay engaged…
○Set up a free CPRM account to manage up to
500 community partner relationships
○Join us for our next webinar on capturing
ecosystem data on Oct 22 at 1 PM (MT)
○Book a free CPRM consult/demo to explore
your network data needs
Find the links in the comments & follow-up email.

48. Thank you!
Questions, comments, ideas?
Please reach out!

Learn more: www.visiblenetworklabs.com
Get in touch: [email protected]
Connect: facebook.com/VisibleNetworkLabs
@VNetworkLabs
Want more network science
resources? Sign up for our
monthly newsletter!

49. Data Analysis Resources
●How to Identify Influencers Using SNA - VNL Blog
●Social Network Analysis with the Network Analyzer - VNL Blog
●Social Network Analysis 101 - VNL Beginner Guide
●What is Social Network Analysis - VNL Brief
●Layering Network Data for Actionable Insights - VNL Infographic
●How to Analyze a Network Map - VNL Infographic
●Translating Your Network Map into Action Steps - VNL Infographic
●Video Tutorial: How to Use Network Mapping - VNL User Guide
●Video Tutorial: How to Use GIS Mapping - VNL User Guide
●Video Tutorial: How to Use Scores, Charts & Tables - VNL User Guide
●Network Mapping Resources - VNL User Guide

50. Q&A



Questions?

Thoughts? Ideas?