The Raw Data tab is primarily designed for analysts, administrators, and advanced users who want full flexibility to explore or export data.
Answer
Use the Open Text Analysis report to review and analyze free-text responses captured in ANVL workflows. This report helps you understand what users are actually saying in comments, descriptions, and other open-text fields.
It is especially useful when you want to:
search for specific words or phrases
identify recurring themes or concerns
find early warning signs that may not appear in checklist data
drill into the workflows where an issue was mentioned
This report is one of the best ways to hear the “voice of the frontline” and turn comments into actionable insight.
Steps
Open the ANVL Power BI reports.
Open the Open Text Analysis page.
Apply filters as needed, such as:
Group / site
Workflow
Supervisor
Employee
Job Title
specific questions or answers
Use the text search feature.
Enter a keyword or phrase such as fire or traffic
Review every place that word appears in open-text responses
Open the related workflows if you need more context
Use the search feature to look for patterns.
Search for repeated hazards
Search for recurring equipment or process issues
Search for words that may signal frustration, urgency, or escalation
Review the word cloud.
Use it to identify frequently mentioned words or phrases
Select a word to filter the report to that topic
Review which sites, roles, or supervisors are mentioning it most often
Drill into the results.
Review individual responses
Look at trends over time
Open the source workflows for context before deciding on action
Export the data if needed.
Use the export options to download the dataset as Excel or CSV
Perform additional analysis outside Power BI if needed
Use this report together with Escalations & Actions when possible.
Use Escalations & Actions to understand structured issue patterns
Use Open Text Analysis to understand the narrative behind those issues
Before taking action, review the context.
A keyword alone may not tell the full story
Open the related workflows to confirm what the user actually meant
Additional details
Searching punctuation such as ! can sometimes help surface urgency or frustration.
This report is especially useful for early risk detection because it can reveal issues that are not captured in structured workflow responses.
Combining filters with keyword searches usually produces the most useful results.
This report is best for identifying themes and signals, not just isolated comments.