Explore an analysis

Introduction

This article will help you interpret your MLY results by walking you through each section of the analysis, indicating the significance of each element, and how they may relate to the MLY findings.

Summary

Start your exploration with the easy-to-read Summary page which clearly presents the overall results with helpful suggestions on where to focus and why, emphasizing key insights such as:

• Most Discussed Topics
• Most Positive Aspects
• Areas Needing Improvement

Additionally, the summary offers context to enhance your understanding of the results such as the most critical insights included in the Alerts, Recommendations, Areas for improvement, and Your strengths sections.

The Summary section also has a Printable version button at the top right of the screen which enables you to create a PDF copy of the summary to archive and/or share with others.

Overview

Explore a more detailed version of your analysis results in the Overview screen. It offers a wealth of high-level, data-driven insights to help you identify areas for deeper investigation.

Each total, attribute and topic are clickable, enabling you to dig deeper into your analyses to reveal issues and blind spots, spot trends, and discover recommendations that can help you quickly make decisions and take action, when needed.

Sentiments

Global sentiment refers to the overall tone of the comments analyzed. Is it primarily positive or negative? Are you noticing a negative trend in sentiment over time?

Which topic insights show high negative or mixed sentiments? These topics could provide an indication of which areas to explore for more details.

Recommendations

How many recommendations were uncovered? Are employees or students engaged enough to suggest ways to improve their experiences? Which recommended actions are most prevalent?

Which topic areas were linked to recommendations?

Alerts

How many alerts were detected and what percentage does this represent of the total number of comments analyzed? Also, how many alerts require immediate attention?

Widgets

The analysis provides widgets where you can explore your results based on these topics:

The settings of each of these widgets can be adjusted to further filter the results by:

1. Type - the analysis type that was used.
2. Breakdown by - Topics, sentiment types, recommendation types or demographics that can be used to further explore the insights
3. Size - 3 options: small, medium or large.
4. Displayed stats - Sentiments, comment count and / or recommendations
5. Analysis type
6. Threshold
7. Topic filter
8. Demographic filter

Topic explorer

With the Topic explorer, you can browse the topics by Sentiments or by Recommendations. These views show you how the topics are rated and what actions are suggested for them.

Sentiments

Explore the Sentiments view to understand how employees and students feel about their work or learning environment and opportunities. You can use these insights to identify areas where they may require more assistance or face challenges, and design new programs or initiatives to address these needs. Sentiments can also help you monitor potential risks or issues before they become serious, as well as track changes and patterns in feedback over time.

This screen lists the top-level topics for the analysis type used (EEI, ELI or SLI). Click on any of these topics to dig deeper into each related sub-topic to view the comments count, number of insights, and the number for each sentiment attribute. By clicking on any of the comments, insights or sentiment counts in the table, a list of the actual comments will appear in the Comment explorer view for this selection.

Recommendations

Explore the Recommendations view to find new ways to enhance the skills and knowledge of employees and students. You can also use it to spot gaps in learning and support, and to design new programs and initiatives that keep employee and students interested and motivated.

This screen lists the top-level topics for the analysis type used (EEI, ELI or SLI). Click on any of these topics to dig deeper into each related topic to view the comments count, number of recommendations, and the number for each recommendation attribute. By clicking on any of the comments, recommendations or attribute counts in the table, a list of the actual comments will appear in the Comment explorer view for this selection.

Add filters to the Topic explorer

1. Add filters allows you to further delve into your analysis by selecting:
2. Analysis type - to select one of your customized analysis types for your review.
3. Threshold - topics equal to or lower than the threshold will not be included in the Topic explorer view. This allows you to focus on Topic areas that have a larger number of comments.
4. Topics - select the topics that will appear in the Topic explorer view.
5. Feedback - select to display the results from one or more feedback column(s) used for this analysis.
6. Demographic filters - select the demographics that will appear in the Topic explorer view.

Comment explorer

Use the Comment explorer to delve into the actual comments. Each comment will display a sentiment and an alert score. Certain comments and / or recommendations may be discovered, but due to insufficient context in the text, MLY was unable to add topics. These comments are classified as uncategorized. You can also sort the comments by attributes. Refer to the table below for details on the sort by type and attributes available:

Review the screenshots below to become familiar with how MLY displays the insights and what each sort or filter options means.

All Comments

Categorized comments

Uncategorized comments

Alerts

Add filters - Comment explorer

Add filters allows you to further dig down into your analysis by selecting topic filters and/or demographic filters. See the Topics Explorer section above for more information on filters.

Organize and manage insights in the Comment explorer

MLY provides a set of features in the Comment explorer that help you efficiently organize comments. These features enable you to easily search, filter and collaborate with colleagues to identify which comments require follow-up, provide feedback on the comment insights to the MLY team and view the comment details such as demographics, categories, etc.

Flag

1. Click on the Flag icon to open a pop-up window, enabling you to create a category and/or tag for this comment. Selecting or creating a category is mandatory to use the Flag feature.
2. Click on the drop-down menu in the Category field to view the list of saved categories. If your desired category does not exist, enter a new category in the field. A pop-up will prompt you to save the new category, adding it to the list and to the comment. The categories will appear as filters available in the Widgets, Topic Explorer, and Comments Explorer.
3. Click on the drop-down menu in the Tag field to view the list of saved tags. Select a tag from the list or create a new one as described above.
4. Enter text in the Description field specific to this comment.
5. Click Flag comment to Save.
6. To search for Tags in this analysis, click Tags in the Search in drop-down menu and enter the name of the Tag.

Discussion thread

7. Selecting the Discussion thread icon opens a pop-up window that allows the user to add their comments in the thread. Other users, who share this analysis, can respond to or add another comment.
8. To add a comment, enter text in the field at the bottom of pop-up window.
9. Click Add to save it to the Discussion thread.
10. To search for text within the Discussion threads, click Discussions in the Search in drop-down menu and enter a word or phrase. Users can search the text only. Note that the current release only allows users to search text within the comments, not the names of the users who posted them.

Redaction comment

1. If redaction has been enabled for the user viewing the analysis, the redaction icon will appear beside each comment. Click to open a redaction pop-up window.
2. This feature allows users to Manually redact a comment.
3. The user can modify the comment displayed in the Redacted comment field.
4. Or select Hide comment and keep insights
5. Or select Remove comment*.
6. Click *Apply to save the redaction.
7. Click on Revert to original comment to remove your changes.

Feedback

8. If you wish to provide feedback to the MLY team regarding the analysis of a comment, click on the Feedback icon.
9. Select an item from the drop-down menu displaying the Polarity, Alerts, Topic sentiments and Recommendations related to the analyzed comment, if available. For Topics and Recommendations, also select the insight for which you are providing your feedback.
10. Click on Agree or Disagree.
11. Provide more details in the Tell us more section.
12. Click Apply to submit your feedback.

What’s next?

With all this information at your fingertips, you can determine what the insights means for your organization. Here are suggestions on what you can do once your review is completed.

• Share the analyzed comments displayed in the Comment explorer with others using Export results. For example: you could filter your results and send lists of analyzed comments to specific managers or faculty members where you feel that their follow-up is needed.
• Run the same data set using a different analysis. For example, learning data analyzed in the ELI (Employee Learning Insights) may contain comments related to employee experience which can be analyzed using EEI (Employee Experience Insights).
• Run the same data file after there has been an update to the analysis types to see if you obtain more results. We recommend doing this because MLY constantly evolves as it continues to learn to identify more patterns, correlations, and trends by analyzing more data.