Abstract: The present disclosure discloses a method and a system for measuring a User Experience (UX) in a Virtual Desktop Environment (VDE). The method comprises receiving a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE, assigning a dynamically calibrated weight to each of the one or more parameters, and calculating, a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric. The present disclosure improves user experience in the VDE. Figure 2
Claims:We claim:
1. A method for measuring a User Experience (UX) in a Virtual Desktop Environment (VDE), comprising:
receiving, by a UX measuring system, a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE;
assigning, by the UX measuring system, a dynamically calibrated weight to each of the one or more parameters, wherein the dynamic calibration of the weight is based on a comparison of at least a historical cumulative weighted score with a predefined reference score;
and
calculating, by the UX measuring system, a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric.
2. The method of claim 1, further comprising identifying one or more actions when the cumulative weighted score is less than a predefined reference score, wherein the user experience is enhanced by execution of the identified one or more actions.
3. The method of claim 1, wherein the received metric is normalized based on a predefined scale.
4. The method of claim 1, wherein the metric is received at predefined time intervals.
5. The method of claim 1, wherein the metric is validated based on a set of predefined values.
6. The method as claimed in claim 1, wherein the predefined reference score is calculated based on one or more of: an analysis of experience of a user performed by mirroring the VDE of the user at backend of the VDE, an analysis of experience of user based on one or more inputs received from the user, a deep learning performed on historical cumulative weighted scores.
7. The method as claimed in claim 1, wherein the plurality of user touchpoints comprises at least one of: input/output systems, local devices associated with the VDE, datacenter services, external resources of the VDE, user interactions with self-service portals, operating system, applications of the VDE, and resources available for virtual machine.
8. A User Experience (UX) measuring system, comprising:
a processor; and
a memory, communicatively coupled with the processor comprising processor executable instructions, which, on execution causes the processor to:
receive a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE;
assign a dynamically calibrated weight to each of the one or more parameters, wherein the dynamic calibration of the weight is based on a comparison of at least a historical cumulative weighted score with a predefined reference score; and
calculate a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric.
9. The UX measuring system as claimed in claim 8, wherein the processor is further configured to identify one or more actions when the cumulative weighted score is less than a predefined score, wherein the user experience is enhanced by execution of the identified one or more actions.
10. The UX measuring system as claimed in claim 8, wherein the received metric is normalized based on a predefined scale.
11. The UX measuring system as claimed in claim 8, wherein the metric is received at predefined time intervals.
12. The UX measuring system as claimed in claim 8, wherein the metric is validated based on a set of predefined values.
13. The UX measuring system as claimed in claim 8, wherein the predefined reference score is calculated based on one or more of: an analysis of UX of a user performed by mirroring the VDE of the user at the backend of the VDE, an analysis of the UX of the user based on one or more inputs received from the user, a deep learning performed on one or more historical cumulative weighted scores.
14. The UX measuring system as claimed in claim 8, wherein the plurality of user touchpoints comprises at least one of: input/output systems, local devices associated with the VDE, data center services, external resources of the VDE, user interactions with self-service portals, operating system, applications of the VDE, and resources available for virtual machine.
Dated this 29th day of March, 2017
R Ramya Rao
Of K&S Partner
Agent for the Applicant
, Description:TECHNICAL FIELD
The present disclosure relates to virtual desktop environments. More particularly, the present disclosure relates to measuring an end user experience in a virtual desktop environment.
| # | Name | Date |
|---|---|---|
| 1 | Power of Attorney [29-03-2017(online)].pdf | 2017-03-29 |
| 2 | Form 5 [29-03-2017(online)].pdf | 2017-03-29 |
| 3 | Form 3 [29-03-2017(online)].pdf | 2017-03-29 |
| 4 | Form 18 [29-03-2017(online)].pdf_44.pdf | 2017-03-29 |
| 5 | Form 18 [29-03-2017(online)].pdf | 2017-03-29 |
| 6 | Form 1 [29-03-2017(online)].pdf | 2017-03-29 |
| 7 | Drawing [29-03-2017(online)].pdf | 2017-03-29 |
| 8 | Description(Complete) [29-03-2017(online)].pdf_45.pdf | 2017-03-29 |
| 9 | Description(Complete) [29-03-2017(online)].pdf | 2017-03-29 |
| 10 | PROOF OF RIGHT [22-06-2017(online)].pdf | 2017-06-22 |
| 11 | Correspondence by Agent_Form30,Form1_27-06-2017.pdf | 2017-06-27 |
| 12 | 201741011122-FER.pdf | 2020-06-23 |
| 13 | 201741011122-PETITION UNDER RULE 137 [23-12-2020(online)].pdf | 2020-12-23 |
| 14 | 201741011122-FORM 3 [23-12-2020(online)].pdf | 2020-12-23 |
| 15 | 201741011122-FER_SER_REPLY [23-12-2020(online)].pdf | 2020-12-23 |
| 16 | 201741011122-PatentCertificate20-12-2023.pdf | 2023-12-20 |
| 17 | 201741011122-IntimationOfGrant20-12-2023.pdf | 2023-12-20 |
| 18 | 201741011122-PROOF OF ALTERATION [18-03-2024(online)].pdf | 2024-03-18 |
| 1 | SearchStrategy201741011122E_29-05-2020.pdf |