7 results about "Product manager" patented technology

The invention belongs to the technical field of human-computer interaction and interface design automation, and particularly discloses a UI component library dynamic construction, intelligent multiplexing and collaborative management method and system based on a collaborative design platform, and the UI component library with a four-layer architecture of a component resource layer, a variable configuration layer, a collaborative application layer and a data analysis layer is constructed. Basic component-component instance separation and synchronization are realized by adopting a variable single component technology; version control, update push and elimination optimization are realized through the component full life cycle management module; a collaborative workflow of a product manager and a designer is provided based on a role differentiation permission mechanism; and combining a business template layer with an intelligent recommendation algorithm to realize scene intelligent multiplexing of the component and the template. The problems of repeated labor, poor consistency, high cooperation cost, insufficient industry adaptation and the like in traditional UI design are solved, and automation, intelligence and collaboration of the whole process from component design to interface generation are achieved.

A software ecosystem dynamically improves the performance and interoperability of software products controlled and operated by product managers within the same or different businesses. A product enhancer analyzes logs of the software products for cross-product user activities and identifies contextual parameters that may impact the separate or collective performance of the software products for users simultaneously engaging with multiple products. The product enhancer can then modify one or more of the software products using contextual parameters derived from or with events and information from other software products to improve the user's overall experience and the collective performance of the software ecosystem of the interoperable products.

The invention relates to the technical field of artificial intelligence, in particular to a product demand management method and system based on a large model agent, and the method comprises the following steps: multi-source demand information collection and injection, demand intelligent analysis and structuring, demand collaboration and refinement, demand priority intelligent evaluation, demand tracking and influence analysis, and closed-loop feedback and self-evolution. The method has the beneficial effects that a large amount of repeated labor (such as information extraction, document writing and state tracking) is automatically processed, so that a product manager can focus on high-value decision; and through standardization processing of the LLM intelligent agent, demand ambiguity is reduced, and a unified demand language is established.

The invention discloses a virtual organization-based mining and selling business collaborative management method and system, and the method comprises the steps: constructing a virtual organization tree with financial categories, commodity categories or business lines as dimensions, and building the ternary relation data among virtual organization nodes, mining and selling personnel and a commodity management authority range; based on the ternary relation data, the system can respond to a downstream request, position a commodity principal through an authority reverse checking algorithm, or generate an approval link through a dynamic routing algorithm; meanwhile, according to the ternary relation data, the original performance data are aggregated into structured performance indicator data according to the personnel dimension, and when personnel responsibilities are changed, all algorithms can be linked to take effect by updating the node binding relation. According to the invention, automatic cooperation of authority verification, approval circulation and performance accounting is realized through a unified data model, the problems of tedious maintenance and system fragility caused by separation of an organization model and a business rule are solved, and the efficiency of acquisition and sales business management is remarkably improved.

The invention relates to the technical field of artificial intelligence technology and project management, and discloses a product manager-oriented research and development man-hour intelligent evaluation method, which comprises the following steps: S1, demand analysis and function point disassembly, S2, standard task library intelligent matching, S3, man-hour calculation of multi-factor fusion, S4, summarizing man-hour evaluation results of all tasks, and S5, after a project is actually executed, performing man-hour evaluation. And recording actual working hour data of each task, and performing deviation comparison with the estimated working hours. According to the method, a company standard task library and historical data are taken as references, so that the subjectivity and randomness of evaluation are reduced, and the result is more pleasant; the generated evaluation report has consistency and reproducibility, and the evaluation results of different product managers for the same demand tend to be the same highly, so that the evaluation results become a reliable basis for project planning and resource allocation, the internal friction and dispute of a team are reduced, and the decision quality is improved.

The invention discloses a rapid application method and system based on prototype design, and the method comprises the steps: a product manager drags a UI assembly in a visual page, configures the attributes of the assembly, and calls a Mock service to generate simulation data to complete a prototype first draft; generating a standardized DSL (Digital Subscriber Line) mapping design parameters and low code specifications for the prototype first draft; generating an interactive preview page through a layered rendering mechanism; switching between Mock data and a real data source is realized based on the standardized DSL; automated processing is performed to generate a deployable application. The method has the advantages that the connection efficiency of prototype design and development links is improved, the communication cost is reduced, and the consistency of the design intention and the implementation effect is ensured.

The technical problem solved by the present application is: how to automatically, accurately and verifiably convert the business test intention described by product managers or testers in natural language (such as Excel spreadsheets or comma-separated value files (CSV, Comma-Separated Values)) into executable end-to-end test code that meets project specifications without increasing the coding burden of test engineers. In order to solve the above technical problem, the first aspect of the technical solution of the present application discloses an end-to-end automated test code generation system based on test intermediate representation and AI self-correction closed loop. The second aspect of the technical solution of the present application discloses an end-to-end automated test code generation method based on test intermediate representation and AI self-correction closed loop.