System, Method and Computer Program Product for Distributed User Activity Management

• US 20130110565A1
• Filed: 04/24/2012
• Published: 05/02/2013
• Est. Priority Date: 04/25/2011
• Status: Abandoned Application

• Current Assignee: Transparency Sciences LLC
• Original Assignee: Transparency Sciences LLC
• Inventors: MEANS, Robert S. Jr., Iftikhar, Naveed
• Application Number:
  US13/455,122
• Publication Number:
  US 20130110565A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: H04M 3/42221 Conversation recording systems at the subscriber's set H04M1/656
• CPC Class Codes: H04M 3/5175 Call or contact centers supervision arrangements

Abstract

A system, method and computer program product for providing a user activity management system including recording activity which may include audio; video or image; screen capture; data from a sensor; location information; computer usage; electronic communications; or social networking activities; transmitting activity information to a network cloud; making available for analyzing, viewing, reporting, training, or alerting; attaching a user activity record to IT systems; or verifying user commitments. The system or method may optionally further include providing playback or supervisor review of recordings; incorporating feedback into an employee or user record; incorporating notes-to-self; or enabling selecting an activity as a best practice for training purposes.

Claims

1. ) A computer implemented method of providing an employee or user activity management system comprising:

a. receiving, by at least one processor, an indication to start or stop recording, wherein said indication comprises receiving at least one of a selection to start recording, a selection to stop recording, a trigger, or a toggle, comprising at least one of;

i. receiving said selection based on a timer, wherein said timer comprises at least one of a user defined timer or a signaled timer from a remote web server to start recording user activity and stop recording said user activity;

ii. receiving said selection based upon receiving launching of at least one user-selected software application, or portion of at least one software application to start recording user activity;

iii. receiving said selection based upon receiving closing or making inactive at least one user-selected software application, or portion of at least one software application to stop recording user activity;

iv. receiving said selection based upon receiving facial recognition by at least one of the webcam, or other video capture device;

v. receiving said selection based upon receiving a change in audio level or a prescribed voice detection;

vi. receiving said selection based upon receiving a signal from a remote web server, initiated by a manager or automated based on detection of certain external events or software parameters;

or

vii. receiving said selection based upon receiving a signal from at least one of a VoIP session initiation, or telco activity, to at least one of;

start recording user activity, or stop recording activity;

b. upon receiving said indication, recording, by at least one processor, activity information at an employee or user computing device, said recording comprising at least one of;

i. capturing audio from at least one of a mic, speaker, telco device, or VoIP session;

ii. capturing at least one of a video, an image from a web cam, or an image from a camera;

iii. capturing a screen capture of a computing device;

iv. capturing a screen capture of an employee or user computing device;

v. capturing environmental data from at least one sensor comprising at least one of a temperature sensor, a humidity sensor, or an environmental conditions sensor;

vi. capturing geo-location information from at least one location sensing device;

vii. capturing computer usage data;

viii. capturing electronic communications comprising at least one of an electronic mail message, an instant message, an SMS message, or an MMS message;

ix. capturing at least one social media post;

or

x. capturing at least one social networking activity; and

c. providing or transmitting, by the at least one processor, said activity information to a network cloud for at least one of;

storage, processing, access, or review.

2. ) The method of claim 1, further comprising at least one of:

a. making information available, by the at least one processor, for at least one of;

i. providing or performing at least one of analyzing, viewing, reporting, training, or alerting;

ii. attaching employee or user activity record to at least one of IT or other independent system comprising at least one of;

employee or user activity referenced or attached to corporate IT systems including at least one of enterprise resource planning (ERP), customer relationship management (CRM), engineering project management (EPM), project management, collaboration, knowledge management (KM), or human resources (HR);

iii. verifying commitment of an employee or user comprising at least one of;

reviewing a recorded session of said commitment of the employee or user, wherein said commitment is to at least one of a peer, customer, or manager, or approving said commitment;

or

iv. processing by a third party verification system.

3. ) The method of claim 1, further comprising at least one of:

a. receiving, by the at least one processor, feedback of at least one of a manager, a supervisor, or a coach, and associating or incorporating said feedback with said content;

b. receiving, by the at least one processor, at least one note to self, and associating or incorporating, as part of an employee knowledge base;

or

c. providing for user selection, by the at least one processor, of at least one activity or at least one session for training purposes, and receiving said user selection, or storing said user selection in a company knowledge base.

4. ) The method of claim 1, further comprising at least one of:

a. providing by at least one processor, an information display mechanism, whereby the recording component serves to display information of at least one user activity.

5. ) The method of claim 4, wherein said providing said information display mechanism further comprises at least one of:

a. providing a visual display of information of various outcomes across user activities comprising at least one of;

i. a number of telco calls;

ii. a number of CRM outcomes;

iii. a number of feedback messages;

iv. a number of user defined outcomes in various software applications;

v. a user specific electronic message;

vi. a team specific electronic message;

or

vii. an alert based on at least one of an organizational or a user defined characteristic comprising at least one of a breaking news item, weather, product information, service information, or company information;

b. providing a recent webcam image to provide visual feedback as to mood or facial expression of the user;

c. providing a performance ranking or a status of a user within a team;

d. providing proximity to defined goals, or potential awards, of a user or a team of the user;

or

e. providing for review of training materials or time required to achieve a training objective of the user.

6. ) The method of claim 1, further comprising at least one of:

a. analyzing, by the at least one processor, a volume level of an audio recording to determine when an actual conversation was taking place;

b. analyzing, by the at least one processor, how often, or a percentage of time the user was engaged in a conversation;

c. analyzing, by the at least one processor, a conversational tone for mood detection or determining at least one of;

a level of anxiety, level of stress, or level of calmness;

d. analyzing, by the at least one processor, a mood of the user during various times;

e. correlating, by the at least one processor, a mood of the user with user productivity;

f. analyzing, by the at least one processor, a webcam image to determine presence of an individual in an image to ascertain amount of time user was at desk of the user;

g. analyzing, by the at least one processor, a facial expression of the user for mood detection;

h. analyzing, by the at least one processor, a desktop screen image of the user to assess the nature of computing activity engaged by the user;

i. analyzing, by the at least one processor, a software application used by the user;

j. analyzing, by the at least one processor, a duration of use of a software application by the user;

or

k. analyzing, by the at least one processor, a frequency of use of a software application by the user.

23. ) The method of claim 1, further comprising capturing or storing content in the cloud, said content further comprising at least one of:

audio content;

video content;

a recording;

a file;

a stream of content;

a video content stream;

an audio content stream;

a media content stream;

compressed content;

uncompressed content;

digital content;

sampled audio content;

captured video content;

digitized analog content;

or

data compressed in a compressed format comprising at least one of;

a WAV format,

an MP3 format,

an OGG format,

an MPEG format,

an AVI format, or

another compressed format.

32. ) The system according to claim 4, further comprising being adapted for privacy and control of recording activity comprising being adapted to at least one of:

i. designate which sensory data is to be captured;

ii. designate how often sensory data is captured;

iii. designate who is authorized to view what, when, and/or for how long;

or

iv. designate, select or permanently delete data.

33. ) The system according to claim 4 further adapted to provide output, by the at least one processor, of said process adapted to provide for viewing at least one time line of recording data adapted to display at least one of:

i. a timeline of user activity for playback comprising being adapted to at least one of;

a. display or allow feedback to user during interaction;

or

b. receive at least one of audio or text comments from at least one of a manager, a supervisor, a coach, or a peer;

c. display an audio graph of audio/volume levels recorded

d. display screen captured images

e. display webcam images captured

f. display activity detail from external systems such as CRM or ERP or Project Management or other user defined Software

g. display weather data

h. display breaking news

i. display customer name, company name, telephone number from an external CRM or Telco system

j. display feedback and messages associated with that moment in the recording;

or

ii. a navigation of a display by a time line comprising being adapted to at least one of;

a. receive a click or selection on any point or moment on the time line;

or

b. receive a click or selection on any event marked on the time line.

34. ) The system according to claim 4 further adapted to provide output comprising being adapted to provide at least one of:

1. a view system whereby a viewer can select or search calls by at least one of;

a. an event across one user or an entire team of users;

b. an event for a particular user;

c. to define a call and have a system find “

like”

calls, wherein a like call comprises a call being determined or evaluated by a common characteristic across one or a plurality of calls comprising at least one of;

i. keywords within the calls;

ii. frequency of keywords within the calls;

iii. gender voice;

iv. event type;

v. time of call;

vi. length of call;

vii. geography of call;

or

viii. demographics of call;

d. to define a call and have a system find “

unlike”

calls, wherein unlike calls are determined by evaluating an uncommon characteristic across one or a plurality of calls comprising at least one of;

i. at least one keyword within a call;

ii. a frequency of at least one keyword within the call;

iii. a gender of a voice;

iv. an event type;

v. time of call;

vi. length of call;

vii. geography of call;

or

viii. demographics of call;

e. select “

Live” and

listen to at least one call in near real-time;

or

2. a view system adapted to display a list of one or more calls selected, displayed in at least one of a plurality of ways, said view system adapted to at least one of;

i. incorporate a “

mini-player”

adapted to allow the user to select to play audio of one or more searched calls in a sequential or nonsequential fashion;

or

ii. incorporate a “

mini-player”

adapted to allow the user to select to play audio of one or more searched calls with associated notes and feedback comments in a sequential or nonsequential fashion.

7. ) A computer-implemented method comprising:

a. receiving, by at least one processor, input comprising at least one of audio data, visual data, screen data, webcam data, sensory data, or environmental data comprising;

i. capturing data or receiving captured data comprising at least one of;

1. capturing or receiving data of a category comprising at least one of;

a. capturing or receiving continuous audio data captured in a plurality of portions from a source comprising at least one of;

 

i. a mic;

 

ii. a speaker;

 

iii. a cloud based telco;

 

iv. a VoIP calls;

 

v. a video conference;

 

vi. a captured audio;

or

 

vii. an audio stream;

b. capturing or receiving a video comprising at least one of;

at least one image, or a stream of images, wherein said at least one image or said stream is captured at a configurable frequency from a video source comprising at least one of;

 

i. a Webcam;

 

ii. an external video capture device;

 

iii. a video conference device;

or

 

iv. a camera;

c. capturing or receiving a screen capture comprising at least one of;

at least one screen image, or a stream of screen images, wherein said at least one screen image or said stream is captured at a configurable frequency from a display screen capture source comprising at least one of;

 

i. a user display device;

 

ii. a display device controller;

 

iii. a software usage catalog;

 

iv. a computer usage list;

or

 

v. a browser usage catalog;

d. capturing or receiving user activity data comprising at least one user activity captured at a configurable frequency from at least one interactive device comprising at least one of;

 

i. a camera;

 

ii. a video device;

 

iii. an audio device;

 

iv. a capture device;

 

v. a sensing device;

 

vi. a behavioral demographic indication of user activity;

 

vii. a psychographic indication of user activity;

 

viii. an action button;

 

ix. an activity indicator;

 

x. a message capture;

 

xi. an electronic message;

 

xii. an instant message (IM);

 

xiii. a social media post;

or

 

xiv. a message;

e. capturing or receiving a location using a location based sensing device comprising at least one of;

 

i. a global positioning system (GPS) sensing device;

 

ii. a geo tagging system;

 

iii. a wireless location sensing system;

or

 

iv. a multi-dimensional location sensing system;

f. capturing or receiving data of or for a customer relationship management (CRM) system;

g. capturing or receiving data of or for telco data comprising at least one of;

data of calls initiated through the ToolBar;

data of calls on the Web;

data of calls on VoIP;

data of calls recorded as separate calls;

data of separate calls flagged as separate calls/interactions;

or calls incorporated in the Analysis/Viewing System;

h. capturing or receiving sales force automation data comprising at least one of;

 

i. CRM data;

 

ii. customer data;

 

iii. customer service data;

 

iv. purchasing data;

or

 

v. billing data;

i. capturing or receiving sensor based data comprising at least one of;

 

i. capturing location data;

 

ii. capturing environmental data;

or

 

iii. capturing user activity data;

j. capturing or receiving Environmental data comprising at least one of;

 

i. capturing temperature data;

 

ii. capturing humidity data;

or

 

iii. capturing sensor-based data;

k. capturing or receiving user data;

or

l. capturing or receiving scanning data comprising at least one of scanner data, or fax data;

or

2. capturing or receiving data of a source comprising at least one of;

a. capturing a user-initiated data;

or

b. capturing an automated capture of data;

ii. creating or receiving, and storing or receiving, metadata comprising at least one of;

1. monitoring or analyzing capture activity;

2. creating log of activity;

3. tracking time of transfers;

or

4. sending a message about transfer to server;

b. analyzing, by the at least one processor, said input comprising at least one of;

i. analyzing audio content comprising at least one of;

1. analyzing at least one of a client end, or server end;

2. performing audio quantification comprising at least one of;

a. distinguishing noise from silence comprising at least one of;

 

i. placing audio content on a scale;

or

 

ii. enabling a supervisor to use a threshold to filter;

b. performing call analysis comprising at least one of;

 

i. analyzing Web-based calls;

or

 

ii. analyzing VoIP calls;

c. capturing calls since the calls may not necessarily be recorded at the client;

d. determining at least one of inbound, or outbound calls;

or

e. distinguishing telephony calls comprising at least one of VoIP or plain old telephone system (POTS) calls from generic audio;

3. processing audio comprising analyzing using a speech-to-text engine comprising at least one of;

a. transcribing audio;

b. translating a language transcription;

c. analyzing an audio transcript for keywords;

d. enabling searches of audio content;

or

e. analyzing audio for possible filtering of at least one of unauthorized, or non-consensual recordings;

ii. analyzing image content, wherein said image content comprises at least one of webcam, camera, or videoconference image content, said analyzing comprising at least one of;

1. analyzing on a device comprising at least one of a client;

or a server, said analyzing comprising at least one of;

a. comparing images analyzing presence of user;

b. comparing images analyzing non-presence of user;

c. detecting presence of user;

d. marking presence of user;

e. detecting nonpresence of user;

f. marking nonpresence of user;

g. monitoring facial expressions for at least one of;

changes, or mood changes;

or

iii. performing screen capture content analysis comprising at least one of;

1. analyzing at at least one of a client, or a server, comprising at least one of;

a. analyzing computing device screens for cataloging user software usage;

b. analyzing computing device activity;

c. analyzing browser activity;

or

d. cataloguing for review; and

c. providing output, by the at least one processor, of said process to at least one of;

i. a display for a Viewing System of a viewing user;

ii. storage;

or

iii. a display, wherein the display comprising displaying at least one of;

1. displaying individual captured data;

2. displaying individual analyzed data;

3. displaying team captured data;

4. displaying team analyzed data;

5. displaying a timeline of user activity for playback comprising at least one of;

a. displaying and allowing feedback to user during interaction;

b. displaying an audio graph of audio/volume levels recorded;

c. displaying screen captured images;

d. displaying webcam images captured;

e. displaying activity detail from external systems comprising at least one of enterprise resource planning (ERP), customer relationship management (CRM), engineering project management (EPM), project management, collaboration, knowledge management (KM), human resources (HR), or other user defined software;

f. displaying weather data;

g. displaying breaking news;

h. displaying customer name, company name, telephone number from an external CRM or Telco system;

or

i. receiving at least one of audio or text comments from at least one of a manager, a supervisor, a coach, or a peer;

6. setting up an Alert System comprising at least one of;

a. providing a push system;

b. displaying selected data;

or

c. displaying selected data based on supervisor defined rules and/or triggers;

7. setting up a training system comprising at least one of;

a. displaying selected data;

or

b. displaying selected data based on supervisor selection;

8. displaying random sampling of the users activities during the day as a slideshow;

9. displaying random sampling of team activities during the day as a slideshow;

10. benchmarking;

11. displaying benchmark data to compare at least one of a team or an individual activity to at least one of industry average, or geographic averages;

or

12. displaying individual captured data as a personal diary.

35. ) The method according to claim 7 further comprising:

analyzing, by at least one processor, critical success factor data associated with at least one activity outcome or result, said analyzing comprising;

a. analyzing data comprising at least one of;

i. endogenous factors comprising at least one of;

1. audio transcript for keywords;

2. frequency of keyword usage;

3. CRM data;

4. customer data;

5. customer service data;

6. purchasing data;

7. billing data;

8. words in a recording activity;

9. speech during recording activity;

10. silence during recording activity;

11. length of a recording activity;

12. percentage of time of activity as compared to inactivity;

13. number of speakers in a recording activity;

14. gender of a participant in a recording activity;

15. capturing a screen associated with a recording activity;

16. people in a recording activity;

17. stress in a recording activity;

18. emotion in a recording activity;

19. location of a participant in a recording activity;

20. geolocation sensing of a recording activity;

or

ii. exogenous factors comprising at least one of;

1. environmental factors;

2. breaking political news;

3. breaking financial news;

4. breaking industry news;

or

5. breaking company news.

36. ) The method of claim 35, further comprising at least one of:

continuously refining results based on new data;

developing associated improved impact coefficients;

or

improving accompanying confidence intervals for probabilistic critical success factors.

37. ) The method of claim 35, further incorporating data from at least one of:

a. a training material mastered by at least one user further comprising at least one of;

i. a reference material;

ii. a best practice;

iii. an audio transcript;

iv. participation in a discussion forum;

v. a note or feedback from at least one of a coach, a peer, or a manager;

vi. a duration of time having been coached;

vii. industry news;

viii. financial news;

or

b. a performance of a team member comprising at least one of;

i. a number of years of experience in a profession;

ii. a number of years of experience in an industry;

iii. a gender of a team member;

iv. an education of a team member;

v. a cumulative amount of training time;

vi. an on-going training per time period comprising at least one of a week, a month, or a year;

or

vii. a number of hours at least one of coaching, or being coached.

38. ) The method of claim 35, further comprising:

ascertaining effectiveness of at least one of;

coaching methods, coaches, or training programs, comprising at least one of;

reviewing changes in performance outcomes after coaching interventions;

or

reviewing changes in performance outcomes after training sessions.

39. ) The method of claim 38, comprising:

enabling a coach to review an intervention of an other coach, comprising at least one of;

providing review without identifying a particular coach;

or

judging an evaluation of an intervention of a coach against actual results.

40. ) The method of claim 37, comprising at least one of:

ascertaining at least one training deficiency of a user;

identifying at least one high impact training activity for a user;

or

developing at least one automated training program for a user.

41. ) The method of claim 40, comprising:

allowing a user to determine how much time is available for training; and

allocating a most efficient or effective training regimen based on said time available.

42. ) The method of claim 35, comprising:

matching a particular user to at least one of;

an activity to which the particular user is most suited;

a sales product to which the particular user is most suited;

or

a demographic to which the particular user is most suited to target.

8. ) A computer implemented system comprising a processor and memory coupled to said processor, said system comprising:

a user capture system operative

to capture content data about a first user comprising;

audio content captured continually in a plurality of segments,

webcam content comprising a plurality of images captured at a configurable frequency, and

screen capture content comprising a plurality of images or data captured at a configurable frequency;

to capture meta data about said captured content;

to store said captured content and said meta data; and

to transfer said captured content and said meta data about said captured content to at least one of a cloud based network system or a cloud based storage system for at least one of analysis or processing to prepare said content for viewing by a second user.

9. ) The system of claim 8, further comprising:

an analysis system on at least one of;

said user capture system, or

the cloud based network or storage system,

said analysis system operative to process said content.

10. ) The system of claim 8, further comprising:

a viewing system, coupled to the cloud based network or storage system, adapted to allow the second user to access said captured content of the first user.

11. ) The system of claim 8, further comprising:

a management system operative to provide users a subscription-based access to an application program service adapted to provide said capture, storage, and transmission of said captured content from said user capture system, adapted to provide an analysis system adapted to analyze said captured content to obtain analyzed content, and adapted to provide display on a viewing system of said analyzed content, and adapted to provide said storage and access to said storage of said analyzed content on the cloud-based network and storage system.

12. ) The system of claim 8, wherein said audio content is segmented in 1 minute segments.

13. ) The system of claim 8, wherein each image of said plurality of images of said webcam content is captured every 10 seconds.

14. ) The system of claim 8, wherein each image of said plurality of images of said screen capture content is captured every 10 seconds.

15. ) The system of claim 8, wherein said user capture system comprises a browser based toolbar application program comprising at least one of:

a start recording button;

a recording activity button;

at least one activity button;

or

a message button.

16. ) The system of claim 8, wherein said user capture system comprises a browser-based toolbar application program comprising:

a start recording button;

a recording activity button;

at least one activity button; and

a message button.

17. ) The system of claim 8, further comprising a viewing system coupled to the cloud-based network and storage system, adapted to display to the second user analyzed data comprising at least one of:

analysis of individual captured content;

or

analysis of team based captured content.

22. ) The system of claim 8, further comprising means for recording activity of at least one of:

a distributed employee or user recording activity;

a distributed workforce recording activity;

a mobile workforce recording activity;

a virtual workforce recording activity;

a manager review of an employee or user recording activity;

a customer and employee or user recording activity;

a recording activity for a government or public worker;

a recording activity for a private industry worker;

a sales person and a customer recording activity;

a manager and subordinate recording activity;

a trainer and a trainee recording activity;

a peer to peer recording activity;

a recruiter to recruit recording activity;

a customer relationship management (CRM) recording activity;

a call recording activity;

a VoIP call recording activity;

an employer and candidate recording activity;

a commercial recording activity;

a business-related recording activity;

an employment management activity;

a human resource tracking recording activity;

a personal diary recording activity;

a compliance tracking recording activity;

or

a recording activity of an employee or user'"'"'s actions.

28. ) The method according to claim 22, further comprising:

taking said data collected, and at least one of;

inserting,

exporting,

attaching to an other system comprising at least one of;

customer relationship management (CRM),

enterprise resource planning (ERP),

project management (PM),

engineering project management (EPM),

knowledge management (KM), or

human resources (HR).

29. ) The method according to claim 22, further comprising at least one of:

intelligently making available analysis;

intelligently making available talking points;

intelligently analyzing at least one of screen activity or sensed data;

intelligently making available talking points for at least one of;

sales tips, coaching, training, information, or product feature information for user access based on type of call or activity user is engaged in;

intelligently making available resource links or applications for at least one of;

a credit bureau, an information service a user to access based on type of call or activity in which user is engaged;

or

intelligently making available via an underlying artificial intelligence system recommended processing.

30. ) The system according to claim 8, wherein said user capture system is further

adapted to share said recording activity comprising at least one of:

adapted to authorize selected viewers to view user recorded activities;

or

adapted to authorize selected viewers to view portions of user recorded activities.

31. ) The system according to claim 30, wherein said user capture system is further adapted to receive at least one of:

1. a selection of recorded activity comprising being adapted to at least one of;

a. receive a selection of at least one segment of a plurality of items on a time line;

b. select a least one segment based on at least one pre-defined length;

c. select at least one segment based on a selection or pointing device adapted to select a selection or particular range;

or

d. select at least one segment based on at least one received input of at least one time selection;

2. a selection of recorded activity, adapted to analyze at least one of;

a. at least one keyword in the recording;

b. a frequency of at least one keyword in the recording;

c. a voice match of at least one voice in the recording;

d. a gender match of at least one voice in the recording;

e. a phrase match in the recording;

f. a keyword match in at least one of an associated audio note, or feedback message within a recording;

g. an other software activity match, displayed on a time line of a recording;

h. a particular screen image match;

i. a particular URL match within the software activity;

j. at least one of a VoIP or Telco Activity match displayed within a time line of a recording;

k. a location match of the recording activity;

or

3. a selection of access to at least one selected recorded activity or group of recording activities made available through a system adapted to at least one of;

a. embed at least one segment in an email or other communication message;

b. create a URL, accessible via the web, comprising at least one of;

i. open access—

no password or access control;

ii. user defined passwords;

iii. expiring URLs that become unavailable after a pre-defined length of time;

or

iv. number of views;

c. make at least one segment available within a messaging or sharing component;

or

d. tag at least one selected recorded activity by at least one specific tag and programmatically make them available to a user or pre-defined group of users.

18. ) A computer program product embodied on a computer readable storage medium comprising a plurality of program instructions which, when executed on at least one computer processor, provide a method of providing an employee or user activity management system, the method comprising:

a. recording, by at least one processor, activity at the employee or user computing device comprising at least one of;

i. capturing audio from at least one of a mic, a speaker, a telco, or VoIP;

ii. capturing at least one of video or images from a web cam;

iii. capturing a screen capture of a computing device of an employee or user;

iv. capturing environmental data from sensors comprising at least one of temperature, humidity, or environment data;

v. capturing location information from a multi-dimensional location sensing device;

vi. capturing computer usage;

vii. capturing electronic communications;

or

viii. capturing social networking activity;

b. providing, by the at least one processor, or transmitting, by the at least one processor, information to a network cloud for at least one of;

storage, or processing; and

c. making information available, by the at least one processor, for at least one of;

i. performing at least one of analyzing, viewing, reporting, training, or alerting;

ii. attaching employee activity record to records comprising at least one of;

employee or user activity referenced IT systems comprising at least one of enterprise resource planning (ERP), customer relationship management (CRM), engineering project management, project management, knowledge management (KM), or HR;

iii. verifying employee or user commitments comprising at least one of;

a recorded session of an employee or user or user interaction with at least one of a peer, a customer, or a manager;

or

iv. processing by a third party verification system.

19. ) The computer program product of claim 18, wherein the method further comprises at least one of:

v. incorporating, by the at least one processor, feedback of at least one of a manager, a supervisor, or a coach as part of the user record;

vi. incorporating, by the at least one processor, notes to self as part of the employee or user knowledge base;

or

vii. enabling, by the at least one processor, a user to select an activity or session for training purposes and to include in a company knowledge base.

20. ) An employee or user activity management system comprising:

at least one processor adapted to record activity at the employee or user computing device comprising at least one of;

audio from at least one of a mic, a speaker, a telco device, or VoIP session;

a video or at least one image from a web cam;

a screen capture of an employee or user computing device;

environmental data from at least one sensor comprising at least one of a temperature, a humidity, or other environmental data;

location information from a multi-dimensional location sensing device;

computer usage;

electronic communication;

or

social networking activity;

said at least one processor adapted to provide, or transmit information to at least one of a cloud based network, or a cloud based storage, for at least one of storage or processing; and

said at least one processor adapted to make information available to at least one of;

to perform at least one of analyzing, viewing, reporting, training, or alerting;

attaching an employee or user activity record to system comprising at least one of;

an employee or user activity record of a corporate IT systems, an enterprise resource planning (ERP) system, a customer relationship management (CRM) system, an engineering project management (EPM), a project management system, a knowledge management (KM) system, or a human resources (HR) system;

to verify a user commitment comprising at least one of;

a recorded session of a user'"'"'s promise to at least one of a peer, a customer, or a manager;

to intelligently make available talking points comprising at least one of a sales tip, training, coaching, or product feature information for user access based on type of call or activity employee or user engaged in;

to intelligently make available resource links/applications (e.g., credit bureaus, etc.) for employee or user to access based on type of call or activity employee or user engaged in;

or

to process by a third party verification system.

21. ) The system of claim 20, further comprising analyzing of recording activity comprising at least one of:

means for incorporating at least one of a manager'"'"'s, a supervisor'"'"'s, or a coach'"'"'s feedback as part of the Employee or user record;

means for incorporating notes to self as part of the Employee or user Knowledge base;

enable a company to select activities/sessions for training purposes and to include in the company knowledge base;

means for recognizing words in a recording activity;

means for recognizing the length of a recording activity;

means for determining the percentage of time of activity as compared to inactivity;

means for recognizing a number of speakers in a recording activity;

means for recognizing a number of speakers in a recording activity;

means for recognizing a language of a recording activity;

means for recognizing an age of a participant in a recording activity;

means for recognizing an audio quality of a recording activity;

means for recognizing a video quality of a recording activity;

means for recognizing gender of a participant in a recording activity;

means for evaluating a recording activity;

means for selecting a particular recording activity from a plurality of recording activities for review;

means for capturing a screen associated with a recording activity;

means for performing voice recognition on a recording activity;

means for speech to text recognition of a recording activity;

means for translation of a recording activity;

means for keyword searching of a recording activity;

means for identifying people in a recording activity;

means for detecting stress in a recording activity;

means for detecting emotion in a recording activity;

means for identifying location of a participant in a recording activity;

or

means for geolocation sensing of a recording activity.

24. ) A method for gathering person specific activity data, comprising:

capturing activity data through at least one collection device, the at least one collection device being of at least one of;

a distributed work force, or a mobile work force, and

allowing the data to be at least one of;

exported,

saved for review,

analyzed,

referenced, or

exported to a third party system.

25. ) A method for gathering person specific activity data, comprising:

capturing person specific activity data through at least one collection device, or receiving from at least one of a public or private data source, said capturing comprising;

capturing information regarding at least one of a distributed or mobile work force, and

allowing said captured data to be at least one of;

exported,

saved for review,

analyzed,

referenced, or

exported to a third party system.

26. ) A method comprising:

gathering individual activity data comprising at least one of;

gathering data across multiple platforms,

gathering data from at least one of multiple sources or sensors, or

gathering data across broad geographies, said gathering said individual activity data comprising;

collecting data in a computing device,

transmitting said data to a network cloud computing device comprising at least one of;

a remote computing device;

a storage device;

allowing said individual activity data to be combined with data available from at least one of;

a public data source, or

a private data source; and

allowing said individual activity data to be made available for at least one of;

analyzing,

correlating,

making available for a least one of;

reviewing,

archiving,

searching,

analysis, or

reporting.

27. ) The method according to claim 26, further comprising:

using said individual activity data by at least one of;

an organization for at least one of employee or user activity management, or

a school for student activity management.

43. ) A computer implemented method of providing an employee or user a training, coaching and collaboration system comprising:

a. providing, by at least one processor, a training playbook comprising;

i. a sales script or talking point;

ii. a summarized list of bullet points;

iii. at least one image, video clip, or audio clip;

iv. a reference material;

v. at least one coaching note, or feedback note marked as at least one of good, bad or neutral;

vi. a collection of at least one best practice;

vii. at least one of an employee or a user role play;

viii. at least one management note;

ix. at least one management priority;

x. at least one discussion forum;

xi. an industry news item; and

xii. at least one product detail.

44. ) The method of claim 43, further comprising at least one of:

categorizing or cataloguing each element of the playbook around a subject;

associating a subject or associated material from a playbook with an activity or sales outcome;

prioritizing or associating a subject or associated material from a playbook with an activity or sales outcome;

creating a subject library of playbook materials;

creating a display of outcomes across a group of users or a team;

or

providing a performance ranking for each user around at least one subject or playbook material.

45. ) The method of claim 44, wherein performance of each user is further provided comprising at least one of:

analyzing the performance around at least one outcome associated with at least one subject, or

analyzing the performance around at least one outcome and associated playbook materials, or

analyzing performance, wherein if the performance is subpar, selecting at least one of the associated playbook materials for improvement, coaching, or training.

46. ) The method of claim 45, wherein training of each user is further provided comprising at least one of:

prioritizing by at least one management objective or

customizing,

to deliver materials with a highest degree of anticipated impact on the at least one outcome and within a time constraint of the user.

47. ) The method of claim 46, further comprising at least one of:

a. enabling review by management of training activity of a user at least one of;

by subject or by material, and ensuring proper availability of time to close any training gap;

or

b. enabling review by a user of a training deficit at least one of;

by subject, by material, or priority, and closing the training deficit efficiently.

48. ) The method of claim 44, further comprising at least one of:

continuously updating an importance of a particular subject;

or

reprioritizing training based on an importance of a particular subject.

49. ) The method of claim 45, further comprising at least one of:

identifying a need for coaching intervention;

focusing on a particular user, subject, or playbook material;

or

creating an impact on an outcome.

50. ) The method of claim 43, further comprising at least one of:

presenting at least one version of at least one of;

at least one sales script, at least one talking point, or at least one reference material;

presenting at random across at least one of a team, or group of users;

or

ascertaining an effectiveness of at least one material in producing a positive outcome.