Opportunity

As explained in The Art of AI Product Development

An opportunity is a customer-oriented need, pain point, desire, or strategic possibility that can create business value.

An opportunity is a customer-oriented need, pain point, desire, or strategic possibility that can create business value. AI products succeed when they match technology to a meaningful opportunity rather than chase excitement around AI. section 1.3.1

Shape and assess opportunities by:

• Sourcing ideas from users, competitors, team expertise, technological developments, regulations, and market positioning. section 2.1 section 2.4
• Prioritizing specific user problems where AI can automate routine work, augment human output, improve outcomes, or personalize experiences. section 1.3.1 section 2.4
• Scoring candidates against user impact, business value, and technical feasibility while balancing quick wins with longer-term investments. section 2.4
• Shaping vague ideas with evidence, user feedback, and experiments, then choosing a careful research-first or fast iterative approach according to risk. section 2.3 section 2.4

From fixed dashboard to conversational access

A fixed dashboard exposes only a small, preselected portion of company data. A conversational interface can let users access more relevant data points when needed, creating tangible value through flexibility and personalization. The opportunity is not “add AI,” but improve how customers work with existing information. section 1.3.1

Figure 2.9 When to be careful versus fast: comparing the ready, aim, fire and ready, fire, aim approaches

Compare ready, aim, fire with ready, fire, aim to choose between research-first caution and fast experimentation when shaping an opportunity. section 2.3

How The Art of AI Product Development covers it

How deep it goes

Defines opportunities, then elaborates sourcing, scoring, evidence gathering, experimentation, and risk-based development approaches.

Examples

Uses conversational data access, personalized music recommendations, AI idea channels, and ready, aim, fire versus ready, fire, aim.

What it assumes

Assumes product and customer awareness while explaining opportunity definition, AI value, idea sourcing, and prioritization.

What you can do after

Evaluate opportunities by user impact, business value, technical feasibility, risk, and evidence from early experimentation.

How it connects

Ties opportunities to customer needs, business value, user feedback, technical feasibility, automation, personalization, and experimentation.

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Related concepts

• qualitymeasured by · Quality is the degree to which an entity, process, or outcome satisfies relevant criteria or exhibits desirable properties.
• scorecardused by · A scorecard is a structured evaluation framework that records criteria and assigns scores to compare people, opportunities, or alternatives.
• requirements analysisproduced by · Requirements analysis is the systematic process of eliciting, clarifying, assessing, and documenting the needs and constraints a system or product must satisfy.
• reorganizationproduced by · Reorganization is a deliberate restructuring of an organization, project, codebase, responsibilities, operations, or allocation of work.
• toolproduced by · A tool is an instrument or software capability that enables a person or system to perform a task, obtain information, or interact with resources.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.