Description:


This article lists information you're likely to want to extract from your data, the LP Insights report(s) you can use to get this data, 
and the values you should select to generate an effective report.

Explanation:


I’d like to see what themes occur most frequently in my data.



Report Type: Category Tree (high level) or Category Leaf (detail level)
Model: Comprehensive Model
Filter: by Customer Verbatim
Visualization: Table, Trend (start with 12 weeks), or Bar
Additional Metric: n/a
Sort Metric: Volume (total number of docs) or Volume % (% of the total number of docs)

For more information about Category Tree reports, see Running Category Tree Reports.  For more information about Category Leaf reports, see Running Category Leaf Reports.


I’d like to see how chat topics are trending over time.



Report Type: Category Tree (high level) or (detail level) Category Leaf
Model:   Comprehensive Model
Filter: by Customer Verbatim
Visualization: Trend (start with 12 weeks)
Additional Metric: n/a
Sort Metric: Volume (total number of docs) or Volume % (% of the total number of docs)

For more information about Category Tree reports, see Running Category Tree Reports.  For more information about Category Leaf reports, see Running Category Leaf Reports.

I’d like to see how chat topics correlate with my key metrics.



Report Type: Category Tree (high level) or Category Leaf (detail level)
Model: Comprehensive Model
Filter: by Customer Verbatim
Visualization: Dual Axis
Additional Metric: select one of of your additional metrics (e.g. CSAT, Conversion, Duration)
Sort Metric: Volume (total number of docs) or Volume % (% of the total number of docs)

For more information about Category Tree reports, see Running Category Tree Reports.  For more information about Category Leaf reports, see Running Category Leaf Reports.

I’d like to see how many chats my web pages are generating.



Report Type: Attribute
Model: Comprehensive Model
Attribute: REFERERURL_C
Filter: by Customer Verbatim
Visualization: Table
Additional Metric select one of these, if desired: CSAT, Conversion, Duration
Sort Metric:  Volume (total number of docs) or Volume % (% of the total number of docs)

For more information about Attribute reports, see Running LP Insights Attribute reports.


I’d like to see what topics my agents are struggling with.



Report Type: Attribute
Model: Comprehensive Model
Attribute: REPNAMEFilter: by Customer Verbatim
Visualization: Table
Additional Metric: select one of these, if desired: AGENTCSAT, Conversion, Duration
Sort Metric: Volume (total number of docs) or Volume % (% of the total number of docs)
Select an agent to review and right click to run the Category Volume for Sub-categories report.

For more information about Attribute reports, see Running LP Insights Attribute reports.


I’d like to see a word cloud based on words in my dataset.



Report Type: Word
Model: Comprehensive Model
Filter: by Customer Verbatim
Visualization: Cloud
Additional Metric: n/a
Sort Metric: Volume (total number of docs), Volume % (% of the total number of docs), or Sentiment (see all positive or all negative words)

For more information about Word reports, see Running LP Insights Word reports.


I’d like to see the common word relationships in my dataset.



Report Type: Relationship
Model: Comprehensive Model
Filter: by Customer Verbatim
Visualization: Cloud or Table
Additional Metric: n/a for Cloud, optional for Table view
Sort Metric: Volume (total number of docs), Volume % (% of the total number of docs), or Sentiment (see all positive or all negative words)

For more information about Relationship reports, see Running LP Insights Relationship reports.