Collect → Analyze → Visualize → Deliver
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Our work
Who we are
Trendline is a concept-to-completion data collection, analysis, and visualization company. We bring customized solutions to our clients based on their unique needs and desired outcomes. Working collaboratively, we're able to uncover the stories hiding in your data and share them with your constituents in a simple yet compelling way.
This is Kendall
This is Kendall
She collects, cleans, and analyzes your data - identifying valuable insights and trends along the way.
This is Michael
This is Michael
He uses Kendall's analysis to create simple, dynamic, digestible reports for a variety of audiences.
Our partners
School districts
Healthcare organizations
Small businesses
Town government
Substance use prevention groups
Nonprofit organizations
Hospitals and healthcare groups
Human services and public health agencies
Our process
Collect
Collect
Advanced survey and data collection tools designed to capture sentiment, measure outcomes, and define the direction of your organization.
Analyze
Analyze
Valuable insights turn your raw data into a reliable trove of information, complementing your intuition and experience to help you make transformative decisions.
Visualize
Visualize
Dynamic, interactive, real-time reports help your organization remain flexible, agile, and responsive to the needs of your constituents.
Deliver
Deliver
We don't own your data, and we'll never withhold it. In fact, we'll train your team to develop sustainable processes within your organization so you can leverage your data again and again.
Our values
Your data is your data.
Your data is your data.
It’s not ours, and we’ll never withhold it.
Data is for everyone.
Data is for everyone.
It should be accessible and easily understood.
Your time is valuable.
Your time is valuable.
We only collect data that can be used efficiently and effectively. Nothing more, nothing less.
Data is important. People are more important.
Data is important. People are more important.
We treat everyone from whom we collect data with respect.
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