Brand Impact Verification Engine for Software Development
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In software development, there is a challenge in maintaining effective branding for software applications that are not company products, leading to potential brand inconsistency or conflict, which can negatively impact user perception and result in economic losses.
Innovation Solution
A system and method for brand impact verification (BIV) that integrates with the software development process, utilizing a requirements-design module and a BIV testing engine to identify and implement design test procedures, ensuring brand characteristics align with software application properties before full implementation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If developers focus on utility aspects and technical functionality of software applications, then user convenience and ease-of-use are improved, but brand characteristics may conflict with software properties leading to brand inconsistency
Solution Approach 1:
The patent applies preliminary action by conducting brand impact verification during the design phase of software development, before full implementation. The BIV testing engine identifies potential brand conflicts early in the development process, allowing developers to address branding issues proactively rather than reactively, thus maintaining both utility and brand consistency.
Solution Approach 2:
The patent implements feedback through the BIV testing engine that continuously evaluates software design against brand characteristics. The system provides feedback on brand impact metrics, enabling developers to adjust design decisions to maintain alignment between software functionality and brand identity throughout the development process.
2Measurement precision
If brand impact verification is performed during full implementation testing, then comprehensive brand assessment is achieved, but development time and productivity are reduced
Solution Approach 1:
The patent performs brand impact verification during the design step rather than waiting for full implementation testing. This preliminary verification identifies brand-related issues early when they are easier and less costly to address, maintaining measurement precision while preserving development productivity by avoiding late-stage rework.
Solution Approach 2:
The patent segments the brand impact verification process into distinct phases aligned with software development stages. The BIV testing engine evaluates brand characteristics at the design step separately from full implementation testing, allowing focused brand assessment without halting overall development progress.
3Stability of the object's composition
If comprehensive brand verification testing is implemented, then brand consistency is maintained, but device complexity and implementation difficulty increase
Solution Approach 1:
The patent creates a universal BIV testing engine that can evaluate multiple brand characteristics across different software applications using a standardized framework. The system handles various brand attributes (visual identity, tone, messaging) through a single integrated platform, reducing overall system complexity while maintaining comprehensive verification capability.
Solution Approach 2:
The patent introduces the BIV testing engine as an intermediary layer between software development and brand management. This intermediary automatically performs brand impact assessment, translating brand characteristics into measurable software properties and eliminating the need for complex direct coordination between developers and brand stakeholders.
4Stability of the object's composition
If brand characteristics are strictly enforced throughout software development, then brand dilution is prevented, but adaptability to different implementation environments is reduced
Solution Approach 1:
The patent applies local quality by allowing brand characteristics to be enforced with appropriate intensity at different software development levels. The BIV testing engine identifies which brand attributes require strict enforcement versus those that can be adapted to specific implementation environments, enabling targeted brand protection without excessive rigidity.
Solution Approach 2:
The patent implements dynamics by making brand verification requirements adaptable based on software context. The system adjusts brand impact thresholds and verification strictness according to the specific software application, implementation environment, and user interaction patterns, maintaining brand integrity while allowing necessary flexibility.
Data Source
AI summary
A system to perform brand impact verification (BIV) for a utilization-related software application (URSA), associated with an identity and a software development process (SDP) including multiple phases. The system includes a requirements-design module to determine brand characteristics of a brand associated with the identity, and software application properties associated with the URSA. The system also includes a BIV testing engine, executed by a computer system, to identify design test procedures to produce quantitative and qualitative design test results based on the determined brand characteristics and the determined software application properties. The BIV testing engine also implements the design test procedures to generate design test results in an SDP design step of an SDP associated with the URSA. The design test procedures are implemented in the SDP in a SDP design step prior to implementing an SDP full implementation test step testing a full implementation of the URSA.