What is normalized research?

• Research built with a specific structure is normalized research
• Normalized research enables you to take the building blocks from past research to inform future projects
• Coegil normalizes research in its structure, storage and organization of the data

Research without structure can be more difficult to use and glean insights from. The less structure you have, the more difficult it is to compare the research and build upon it. That’s why having a strategy and structure to your research is important to the long-term viability and usage of the information.

Normalized research is research executed in and produced with a specific structure (normalization).  The goal of normalized research is for end users to increase their comprehension of the research and improve the compoundability of research.

3 ways Coegil normalizes research

At Coegil, we recognize the importance of normalizing research, which is why we help researchers present their data and pair them with the professionals seeking insights. Here’s a look at the three ways we normalize research.

1. Structure

The Coegil platform breaks research down into three distinct areas so you can learn more about what you need to for decision making:

• Insights, including observations, ideas or models
• Predictions featuring forecasts and estimates
• Actions so you know whether you should buy, sell, hold, do or do not take an action

2. Storage

In addition to structure, Coegil also normalizes research in the way we store the information. Using the concept of a research lab, we place your research in distinct rooms (or groups).  Each group has different security levels and requires specific access to ensure that your research is protected but accessible to your team.

3. Organize

To make storage compatible with long-term use, we organize the information using tags. These aren’t ordinary tags though. We place tags in a hierarchy or ontology.  Organizing research in this way allows multiple users to collaborate on the research but reduces the likelihood of tag overlap between users.

Furthermore, the tagging structure Coegil employs also promotes finding correlations between research efforts. The more correlations your team sees, the better you can use your research, experience efficiencies and build upon your research in the future.

Benefits of Coegil’s normalized research structure

To researchers, data and information are fascinating, but to some it’s simply the pathway to decision making. Coegil’s platform makes it easy for researchers to share the key findings from their research in short form for executives and others within the company to quickly reference and approve actions to move forward.

In the TLDR (too long, didn’t read) world we live in, these bullet point reports make research understandable and useful to everyone.

Each research project has unique parameters and decisions that drive the research but includes similar building blocks. Coegil’s normalized research enables you to take the insights, predictions and actions from one research project and apply them to another project. This way, you can custom-fit your findings to match your end-user’s needs.

Want to learn more about what Coegil has to offer? Visit the product page to watch our video explaining the platform and how we can transform your current way of executing research.