Computer based process for strategy evaluation and optimization based on customer desired outcomes and predictive metrics
First Claim
1. A computer implemented method for optimizing strategic options designed to solve a selected mission, comprising the following steps:
- (a) processing data relating to subject specific desired outcomes for at least one predetermined customer set, said desired outcomes having predetermined prioritized ratings;
(b) processing data relating to predictive metrics which predict satisfaction of said desired outcomes;
(c) evaluating the degree to which each of said predictive metrics predict satisfaction of each of said desired outcomes for each of said customer sets;
(d) defining strategic options, each of said defined strategic options designed to satisfy at least one of said customer desired outcomes;
(e) comparing each of said user defined strategic options with a user defined baseline strategic option to determine which of said user defined strategic options best predict satisfaction of each of said customer desired outcomes;
(f) prioritizing each of said desired outcomes into said predetermine prioritized ratings; and
(g) defining a benefit of value of each of said desired outcomes, where said desired outcomes are free from any solution or specification and each of said desired outcomes remain stable over time.
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Accused Products
Abstract
A computer program product for use with a computer system for providing a process for strategy evaluation and optimization, having a computer-readable medium of instructions for directing a computer to evaluate data for optimizing strategic options. The product includes data storage relating to specific desired outcomes relating to a specific process for an identified customer set and data relating to metrics which predict the satisfaction of desired outcomes. The process has a computer program for quantifying the degree to which each metric predicts satisfaction of each customer desired outcome. Users define strategic options; each option is designed to satisfy customer desired outcomes. A computer program quantifies the degree to which each strategic option satisfies customer desired outcomes. A plurality of strategic options is evaluated.
60 Citations
10 Claims
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1. A computer implemented method for optimizing strategic options designed to solve a selected mission, comprising the following steps:
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(a) processing data relating to subject specific desired outcomes for at least one predetermined customer set, said desired outcomes having predetermined prioritized ratings; (b) processing data relating to predictive metrics which predict satisfaction of said desired outcomes; (c) evaluating the degree to which each of said predictive metrics predict satisfaction of each of said desired outcomes for each of said customer sets; (d) defining strategic options, each of said defined strategic options designed to satisfy at least one of said customer desired outcomes; (e) comparing each of said user defined strategic options with a user defined baseline strategic option to determine which of said user defined strategic options best predict satisfaction of each of said customer desired outcomes; (f) prioritizing each of said desired outcomes into said predetermine prioritized ratings; and (g) defining a benefit of value of each of said desired outcomes, where said desired outcomes are free from any solution or specification and each of said desired outcomes remain stable over time. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A computer implemented method for finding an optimal solution that will satisfy strategic personal and business decisions related to a selected process, comprising the following steps:
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(a) storing data obtained from conducting interviews of a statistically representative sample of individual customers from a plurality of customer sets in connections with specific processes, said data comprising a plurality of desired outcomes from said customer sets, each of said desired outcomes having an associated importance factor and an associated satisfaction factor, said satisfaction factor indicating the degree to which a corresponding desired outcome has been achieved, said data including a plurality of predictive metrics, each of said predictive metrics having a corresponding relationship with each of said desired outcomes, said predictive metrics comprising measurable parameters which predict the satisfaction of said desired outcomes, each of said predictive metrics assigned scaled indicator for each of said desired outcomes, said scaled indicators representing the degree to which each predictive metric satisfies a corresponding particular customer desired outcome; (b) selecting a specific process to be evaluated for optimization in accordance with said data; (c) selecting a plurality of customer sets for evaluation of said selected process; (d) weighting the importance of said selected customer sets by assigning each of said selected customer sets a weighting value; (e) ranking said desired outcomes associated with said selected process and said selected and weighted customer sets, whereby said desired outcome ranking is dependent upon said customer set weighted values and said importance and satisfaction factors such that desired outcomes identified as important yet unsatisfied are ranked higher than desired outcomes identified as unimportant or satisfied; (f) prioritizing said predictive metrics in terms of the degree to which said predictive metrics predict the satisfaction of said desired outcomes associated with said selected customer sets and said selected process, whereby those predictive metrics which predict satisfaction of said ranked desired outcomes are quantified and prioritized; (g) defining a plurality of process specific strategic options, each of said strategic options designed to satisfy said customer desired outcomes; (h) quantifying the degree to which each of said strategic options satisfy said customer desired outcomes; (i) prioritizing each of said desired outcomes into said predetermined prioritized ratings; and (j) defining a benefit of value for each of said desired outcomes, where said desired outcomes are free from any solution or specification and each of said desired outcomes remain stable over time.
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10. A computer implemented method for evaluating and optimizing business strategies in connection with a data storage device containing data obtained from conduction interviews of statistically representative sample of individual customers from a plurality of said discrete customer sets, whereby desired outcomes, identifying benefits that each customer set values, are elicited and stored in said data storage device in discrete files corresponding to said customer sets, each of said desired outcomes having an assigned importance factor and an assigned satisfaction factor, said data storage device further including predictive metrics for each of said desired outcomes identified by each of said customer sets, said predictive metrics comprising measurable parameters for satisfying said desired outcomes, each of said predictive metrics assigned scaled indicators for each of said desired outcomes, said scaled indicators representing the degree to which a predictive metric predicts satisfaction of a particular customer desired outcome;
- said method comprising the following steps;
(a) selecting a plurality of customer sets for analysis; (b) assigning weighting values to said selected customer sets thereby positively or negatively weighting the influence of each of said selected customer sets; (c) ranking said desired outcomes in terms of importance and satisfaction whereby desired outcomes identified as important yet unsatisfied are ranked high while desired outcomes identified as unimportant or satisfied are ranked low, said ranking being dependent upon said customer set weighting; (d) prioritizing said predictive metrics, said prioritization dependent upon said cumulative ranking of desired outcomes and dependent upon said predictive metric scaled indicators whereby the predictive metrics which predict satisfaction of high ranking desired outcomes are assigned a high priority while the predictive metrics which predict satisfaction of low ranked desired outcomes are assigned a low priority; (e) displaying a list of said predictive metrics prioritized in terms of normalized importance relative to said ranked desired outcomes; (f) defining a plurality of strategic options; (g) evaluating each of said defined strategic options in terms of the degree to which each defined strategic options satisfies said desired outcomes; (h) prioritizing each of said desired outcomes into said predetermined prioritized ratings; and (i) defining a benefit of value for each of said desired outcomes, where said desired outcomes are free from any solution or specification and each of said desired outcomes remain stable over time.
- said method comprising the following steps;
Specification