Unlocking the Power of User Insight: How to Drive Product Success

User research (用研) has two main handles: "user experience" and "user insight". While user experience benefits from mature, standardized methods, user insight is more challenging because its methodology is less defined, making project quality uneven and evaluation criteria unclear.

#01 How to Understand the Value of User Insight

1. The Relativity of Insight Value

Insight value is relative to the current knowledge level of the business or stakeholder. Valuable insight adds new information that the stakeholder did not already know; otherwise it is merely self‑satisfaction.

Therefore, continuous communication with stakeholders and staying updated on business dynamics are essential.

2. The Dynamism of Insight Value

Insight shifts from "accidental discovery" to "deliberate discovery". Early in a product’s lifecycle, deliberate discovery yields a larger information increment, while later the incremental value diminishes as the knowledge curve flattens.

3. The Vector Perspective

Insight can be visualized as a vector with direction and magnitude. If the new information aligns with the existing direction (vector A) but extends its length, the insight adds detail. If it changes direction, it broadens perspective. If it opposes the direction, it overturns existing beliefs, representing the highest value.

4. The Layered Perspective

Insight value can be divided into strategic, tactical, and application layers. Strategic insight uncovers market‑wide trends for decision‑makers. Tactical insight informs product design or iteration, while application insight provides concrete implementation details (e.g., which music licensing to prioritize).

#02 What Does User Insight Include?

Valuable insight builds on three pillars: user profile insight, user cognition insight, and user behavior insight, all aimed at uncovering true user demand.

1. User Profile Insight

This starts with basic demographics and expands to deeper lifestyle, values, and motivations, forming user personas that guide product and marketing decisions. Examples include TikTok e‑commerce sellers adjusting strategies based on gender/age data, or automotive brands crafting personas for targeted messaging.

2. User Cognition Insight

This reveals how users perceive a brand, product, or category, highlighting gaps between stakeholder assumptions and actual user beliefs. Case studies include a high‑school exam community that users treat as an emotional outlet rather than just a study resource, and Chinese users’ misunderstanding of autonomous driving levels.

3. User Behavior Insight

By observing actual usage patterns, hidden needs emerge. Examples range from a user washing sweet potatoes in a washing machine (leading to a dedicated “sweet‑potato” model) to a fast‑food chain discovering that morning milkshakes serve as commuters’ companions.

4. User Demand Insight

True demand cannot be obtained by direct questioning; it is inferred from the other three insights. Techniques include probing “pain points” and exploring reasons for non‑use, as illustrated by a consumer who adopted an automatic apple‑peeling device after recognizing the hassle of peeling.

In summary, effective user insight requires breaking existing assumptions, focusing on findings that contradict common knowledge, and consistently aligning stakeholder expectations with the insight’s intended layer.

Follow for the next installment on turning insight into action.