The AI-Driven
Value Chain.
Data is inert; AI is dynamic. A genuinely smart data product generates cues that stimulate human thinking, ultimately influencing user actions to achieve tangible business results.
From Machine Logic to Human Action
A data product powered by AI facilitates the connection between intricate algorithms and tangible results by guiding a targeted three-step psychological shift.
1. Intelligent Signal
The machine learning engine produces synthesized calculations, such as anomalies, forecasts, or probabilistic recommendations, rather than raw data.
2. Cognitive Output
When users are able to comprehend data products, they can gain clarity, insight, and understanding through the UX design translating signals into context.
3. Behavioral Output
The user's behavior is optimized in the real world due to the clarity provided by cognitive output.
Insight → Decision → Action → Impact
If a data product only provides insights, it is considered a failure. The AI architecture's main goal is to guide the user towards making a significant impact.
1. Insight
The AI model provides clarity. The user understands what is happening and why.
2. Decision
With insight at their disposal, the user assesses their choices and selects the best path ahead.
3. Action
The user's decision is carried out through their workflow or application, resulting in a behavioral output.
4. Impact
The ultimate outcome for a business includes saving revenue, optimizing margins, and mitigating risk.
Design for Behavioral Change
If your data product isn't influencing behavior, it's not creating value. Discover how to create UX that translates AI insights into tangible results.