Browse Prior Art Database

Dynamic Web Enabled Weighted Tool Selection Matrix

IP.com Disclosure Number: IPCOM000014973D
Original Publication Date: 2001-Jul-07
Included in the Prior Art Database: 2003-Jun-20
Document File: 2 page(s) / 69K

Publishing Venue

IBM

Abstract

Disclosed is a method for leveraging the knowledge of domain experts of complex topics across a large corporation by providing a consistent and related method for areas such as tool/software selections for alliances and clients and a manner to communicate key reasons for selecting or rejecting a given technology back to the consultants. Specifically, evaluation of products tied to standard evaluation. Level 1: a dynamic weighted matrix for evaluation (dynamic dependent on needs) Level 2: Questions tied to matrix that dive in deeper or exit depending on answers. Determines categorical dynamic values. Level 3: provides feedback loop based on clients answers as to why a product is rejected. For Example: Requires efficient maintenance and deployment could rule out solution that requires thin client as compared to web based solutions. Level 4: allows forecasting per industry. Additional advantage: allows consultants to provide expertise much above their own personal level. Details. 1. Expert(s) identifies elements to evaluate this tool set and a blank matrix created.

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Dynamic Web Enabled Weighted Tool Selection Matrix

Disclosed is a method for leveraging the knowledge of domain experts of complex topics across a large corporation by providing a consistent and related method for areas such as tool/software selections for alliances and clients and a manner to communicate key reasons for selecting or rejecting a given technology back to the consultants.

Specifically, evaluation of products tied to standard evaluation. Level 1: a dynamic weighted matrix for evaluation (dynamic dependent on needs) Level 2: Questions tied to matrix that dive in deeper or exit depending on answers. Determines categorical dynamic values. Level 3: provides feedback loop based on clients answers as to why a product is rejected. For Example: Requires efficient maintenance and deployment could rule out solution that requires thin client as compared to web based solutions. Level 4: allows forecasting per industry. Additional advantage: allows consultants to provide expertise much above their own personal level.

Details.

1. Expert(s) identifies elements to evaluate this tool set and a blank matrix created.

      2. Expert(s) score tools on each element however no weighting assigned and no total score just a potential value.

3. Expert(s) develop questions which span the elements and develop web interface

4. Non-expert consultant

1.Goes to the web
2. What OS must be
3. Asks client
4. Client Provides Answers
5. Consultant records answers.
6. Dynamic Web Enabled Weighted Tool Selection Matrix Records appropriate weighting
7. At end of session, dynamic weighted matrix produces a score dependent on the weightings of

the client.

          8. Dynamic weighted matrix can also produce reasons why certain tools were ruled out by identifying high weightings with low scores. Such as, you had indicated it must support linux if it has an applet, Tool M does not support Linux.

Matrix Example

Category 1

SubCat1 Prod 1 SubCat1 Prod 2 SubCat

SubTotal SubTotal

Product 1 Score Product 2 Score Product 3 Score

SubSubCat1
SubSubCat2
SubSubCat3


SubCat2

SubSubCat1 SubSubCat2 SubSubCat3

SubSubCat1 SubSubCat2

SubCat3

1

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SubSubCat3

Category 2 Category 3 ......

The matrix is developed as follows. Major categories are identified...