NATURAL LANGUAGE METRIC CONDITION ALERTS USER INTERFACES

• US 20140100901A1
• Filed: 10/05/2012
• Published: 04/10/2014
• Est. Priority Date: 10/05/2012
• Status: Abandoned Application

• Current Assignee: Successfactors Incorporated (SAP SE)
• Original Assignee: Successfactors Incorporated (SAP SE)
• Inventors: Haine, Dominic Philip, Strezo, Michael, Capraro, Michel Angelo, Hagar, Lyndal, Ashton, Anthony, Bolwell, Laesa, Krakovsky, Dmitri
• Application Number:
  US13/646,595
• Publication Number:
  US 20140100901A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06F 16/9038 Presentation of query results
• CPC Class Codes: G06F 40/186 Templates
• CPC Class Codes: G06F 40/56 Natural language generation
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

Enterprise data sources can be monitored to detect metric conditions via rules, and alerts can be generated. The alerts can be presented as natural language descriptions of business metric conditions. From an alert, the reader can navigate to a story page that presents additional detail and allows further navigation within the data. Additional detail presented can include a drill down synopsis, strategies for overcoming a negative condition, links to discussions within the organization about the condition, options for sharing or collaborating about the condition, or the like.

Claims

1. A method implemented at least in part by a computer, the method comprising:

displaying an alert comprising a natural language description of a business metric condition detected for a business metric within a business enterprise;

receiving an activation of the alert; and

responsive to the activation of the alert, displaying a story page comprising further detail about the business metric condition.

2. One or more computer-readable devices comprising computer-executable instructions causing a computing system to perform the method of claim 1.

3. The method of claim 1 wherein:

the story page comprises a display of the business metric as observed for a plurality of data segments within the business enterprise.

4. The method of claim 3 wherein the display of the business metric as calculated for a plurality of data segments within the business enterprise comprises a drill down synopsis of the business metric.

5. The method of claim 4 further comprising:

responsive to activation of the drill down synopsis, displaying an expanded version of the drill down synopsis showing additional data segments.

6. The method of claim 3 further comprising:

via the story page, receiving an indication to view the business metric by segments other than those shown on the story page.

7. The method of claim 1 wherein:

the natural language description comprises a headline format; and

the alert is presented as part of a ranked list of alerts.

8. The method of claim 1 wherein the natural language description of a the business metric condition comprises a user-centric description.

9. The method of claim 8 wherein the user-centric description switches from second person grammar to third person grammar depending on to whom the alert is directed.

10. The method of claim 8 wherein the user-centric description comprises description from an organizational chart perspective of a user to whom the alert is directed.

11. The method of claim 1 wherein displaying the alert comprises displaying a summary graph depicting the business metric condition.

12. The method of claim 11 further comprising:

responsive to activation of the summary graph, displaying an expanded version of the summary graph.

13. The method of claim 12 wherein:

the expanded version of the summary graph comprises a natural language description of a specific trend amount over a prior period.

14. The method of claim 1 further comprising:

displaying a collaboration sidebar for the alert; and

responsive to activation of a user interface element on the collaboration sidebar, sharing the alert with a recipient.

15. The method of claim 1 further comprising:

displaying a user interface for adjusting a target setting for the alert.

16. The method of claim 15 further comprising:

via the user interface for adjusting the target setting, receiving an indication to change a tolerance for the alert.

17. The method of claim 1 wherein the alert originates from analysis of one or more enterprise data sources with a plurality of business metric condition detection rules.

18. The method of claim 1 wherein the business metric condition is a negative business metric condition, the method further comprising:

in the story page, displaying an indication of solutions for remedying the negative business metric condition.

19. A computing device comprising:

one or more processors;

memory;

a display screen displaying an alert comprising a natural language description of a condition of a business metric detected for a business metric within a business enterprise, wherein the alert is part of a ranked list of alerts;

wherein the display screen is configured to receive an activation of the alert; and

the computing device is configured to, responsive to the activation of the alert, display a story page comprising further detail about the condition of the business metric.

20. One or more computer-readable storage media comprising computer-executable instructions causing a computing system to perform a method comprising:

displaying an alert comprising a natural language description of a detected business metric condition within a business enterprise for a business metric, wherein the detected business metric condition comprises exceeding a threshold target value by a tolerance;

receiving an activation of the alert; and

responsive to the activation of the alert, displaying a story page comprising further detail about the detected business metric condition, wherein the story page comprises a drill down synopsis comprising a display of the business metric as calculated for a plurality of data segments within the business enterprise, indications of solution suggestions, communication options, and a list of employees at risk, wherein the list of employees is represented by respective photographs of the employees.