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Product Design for AI based Products

Establishing a set of design methods for converting computer readable data into human relatable products.

Driven by Design

By combining Design Thinking's user-centric focus with Systems Design's holistic and systemic perspective, a set of unique design methods has evolved for solving complex, interconnected design challenges.

Design Thinking for emerging platforms

Building products for emerging platforms

An evidence-based approach to making products involves using empirical evidence and data to inform decision-making throughout the product development process. This approach emphasizes applying the most suitable methods and processes at each stage of development, depending on the specific questions and challenges at hand.

It seeks to answer questions like: What do we need to learn? What methods will provide the most reliable evidence to guide our progress?

The goal of this approach is to minimize guesswork and subjective decision-making, instead relying on empirical evidence to guide the product development process. It recognizes that different stages of development may require different methods and tools to gather the best evidence, and it encourages a willingness to pivot or adjust course based on what the evidence reveals. Ultimately, this approach helps ensure that products are more likely to meet user needs and achieve their intended results.

The link below is an outline of the Design Methods & Precepts used to deploy effective Products.

Find the user’s Source of Truth

Heuristic Archetypes and Mental Models

Understanding a user's mental model is crucial for grasping their perceived value throughout their product journey. By utilizing research techniques and validating user archetypes and personas, we amalgamate design patterns to capture and unveil data's value in a human-readable form.

Two distinct product examples necessitate divergent archetypes and design patterns. Remote Autonomous Robotics HMI products demand precise data interpretation (Perception Stack Data and Object Prediction) with perceptual design patterns.

This involves UX interactions tailored for unique use cases, differing from standard conventions.

The Hourly Job Seekers Marketplace relies on correlating Snagajob data using insights from Data Scientists. Value is surfaced through standard UX conventions during job searches. AI sorts roles based on previous work experience, presenting highly correlated roles to job seekers.

Mental models and design patterns are impactful tools in design delivery.

The link below is a diagram of the Heuristic Design Archetypes used to craft effective user experiences.

A Conceptual estimator of Real Estate Equity based on Historical Data

Let's explore this study in a way that's relatable for first-time home buyers (FTH). First, we'll connect the dots between the historical wealth growth of homeowners versus renters. Then, we'll break down how someone new to homeownership (a First Time Home Buyer) can evaluate the financial side of buying a home and the potential for building wealth, using past housing data as a guide.

Be deliberately Impactful