US 12,248,953 B2
System and method for predictive analytics
Rachel Kuhr Conn, Austin, TX (US); Janice Fraser, Austin, TX (US); Aboudi Minkara, Austin, TX (US); Christina White, Austin, TX (US); Wesley Galliher, Austin, TX (US); Jennifer Prishtina, Austin, TX (US); Nick Chagin, Austin, TX (US); Tyler Steinke, Austin, TX (US); and Jeffrey Bryant, Austin, TX (US)
Assigned to Productable, Inc., Austin, TX (US)
Filed by Productable, Inc., Austin, TX (US)
Filed on Dec. 29, 2021, as Appl. No. 17/565,297.
Claims priority of provisional application 63/131,648, filed on Dec. 29, 2020.
Prior Publication US 2022/0215410 A1, Jul. 7, 2022
Int. Cl. G06Q 10/00 (2023.01); G06Q 10/04 (2023.01); G06Q 30/0202 (2023.01)
CPC G06Q 30/0202 (2013.01) [G06Q 10/04 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for predictive analytics comprising:
identifying one or more opportunity area goals and resources associated with a portfolio, wherein the portfolio is a large set of projects that represent bets made against a larger goal and the portfolio further represents a potential solution to a larger problem;
recommending and assigning, via an interactive dashboard, one or more blocks of work presented to a user with the interactive dashboard to select from one or more selectable options the one or more blocks of work to review for each project optimized to lead to success of the portfolio, wherein the one or more selectable options include the user selection of one or more selectable options displayed on the dashboard;
prompting, via the interactive dashboard, the user to respond with a series of questions that allows the user to provide information or select from the one or more selectable options, wherein the series of questions includes the one or more selectable options for the user to provide an answer to one or more questions to evaluate whether the information identified during an activity is relevant to needs and capabilities of a business;
associating progress metrics with each of the one or more blocks of work based on feedback loops and/or performance reviews, wherein the progress metrics comprise person, project, pipeline, and portfolio data;
allocating funding, growth metrics, interest areas, progress metrics and/or associated block recommendations;
running the one or more blocks of work to progress model maturity of the portfolio;
upon completion of the one or more blocks of work, evaluating performance of the one or more blocks of work;
reconciling the performance of the one or more blocks of work with the one or more opportunity area goals and resources associated with the portfolio, wherein the reconciling the performance of the one or more blocks include forecasting and improving relative to the one or more opportunity area goals and resources;
updating the forecasting of the one or more opportunity areas goals and resources based on the progress of the portfolio;
re-running the one or more blocks of work, wherein any project management approach is capable of being utilized to apply the recommended one or more blocks of work to each project; and
storing, by one or more databases, all people, process, and outcome data associated with the portfolio which is then used to build further recommendations of one or more blocks of work based on what is proven to work and what is not.