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Product Developers and Business Intelligence Software: Collectively Make Better Decisions

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Strategy 2 Market’s Report Taps Into The “Cyber-Human” And How It Could Help Improve Product Development

Drotar and Morrissey, co-founders of Strategy 2 Market have seen countless product development mishaps over the years. These mishaps boil down to poor decision-making and the limited ability to identify and manage product development uncertainty and risk.

Read More: UK And France To Strengthen Ties In Artificial Intelligence And Data

These mishaps include, but are not limited to the following examples: 

  •     Companies having a hard time keeping up with continuous change in technology, competition, regulations
  •     Products languishing in development for months or even years since the technology is new and evolving
  •     Companies creating a new product that the existing sales channel cannot sell
  •     Elegant product solutions that customers are not interested in buying

Improving project team decision-making through the assistance of computers/ Artificial Intelligence (AI) is a key asset that product development teams can benefit from to reduce the number of product development mishaps.

Read More: Working Together To Strengthen The Lives Of Rural Americans

Drotar and Morrissey created a “cyber-human” tool called the Business Fit Framework (BFF). The BFF enables and supports Malone’s key elements of an intelligent system: create possibilities for action, decide which actions to take, sense the external world, remember the past and learn from experience.

The BFF collectively incorporates smart technology/AI into the human process of developing products. Ultimately, leading to better decision-making. Here is how the cyber-human collaboration works: 

1.    The BFF provides a framework and process for cross-functional identification of risks and uncertainties on individual new product ideas
2.    As the project team works through this framework, the BFF captures all the relevant information on risks identified, as well as the team’s assessment of the risk from multiple dimensions
3.    The BFF categorizes risks into priority categories, allowing the team to quickly surface the most important risks
4.    The project team assesses project viability using information collected in the BFF and selects the most important risks to resolve
5.    The BFF provides reports and graphics that enable objective communication and transparency of product risks during project portfolio prioritization
6.    As the team resolves the most important risks, the BFF monitors progress and produces reports and graphics
7.    The BFF builds new learnings into the frameworks and models for future use

Companies are showing an interest in these intelligent systems for product development. The authors are recipients of a NSF STEM I-Corp grant for the Business Fit Framework. During their grant research they found senior product development leaders, across industries, embraced the idea of sharing anonymized information (1) on product development risks and uncertainties to improve product development efforts.

So, what does this future world of BFF collective intelligence look like for a product development team?

  •     Reduced product uncertainty and risk, leading to increased product success
  •     A unified view of the product across disciplines
  •     Ability to react to unexpected threats and disruption
  •     Optimized resources
  •     Community of users collectively improving product development

Collectively, computers and humans can help product developers to make better decisions.

Read More: MoCo Is World’s First To Combine Blockchain, AI, VR, And Video And Data Compression In One Platform

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