UX Research
Product Design (UI/UX)

UX Research & Product Discovery

(Clavon Standard)

How Clavon conducts UX research and product discovery that materially reduces delivery risk, prevents rework, and accelerates adoption.

Purpose of This Page

This page defines how Clavon conducts UX research and product discovery that materially reduces delivery risk, prevents rework, and accelerates adoption.

Research is not about collecting opinions.

Discovery is not about workshops.

Both exist to enable correct decisions early, when they are cheapest to make.

Why UX Research Commonly Fails

Across organizations, UX research fails not because it is unnecessary, but because it is misapplied:

Research is too slow or too academic

Insights are not connected to delivery decisions

Findings are presented without prioritization

Discovery is divorced from engineering constraints

Research is repeated instead of institutionalized

Teams rely on assumptions when research is inconvenient

The result:

  • Opinion-driven design
  • Late-stage reversals
  • Stakeholder disagreement
  • Wasted delivery effort

Clavon corrects this by treating research as a decision-support system, not a design ritual.

Clavon Discovery Principle

Research exists to reduce uncertainty that materially affects scope, architecture, risk, or adoption.

If research does not change a decision, it is unnecessary.

What We Mean by Product Discovery

Product discovery at Clavon answers four questions, in order:

1

What problem is the user actually trying to solve?

2

How is it solved today (including workarounds)?

3

Where does friction, delay, or risk occur?

4

What solution options are viable within real constraints?

Everything else is noise.

Discovery vs Delivery (Clear Boundary)

Clavon explicitly separates discovery outputs from delivery commitments.

Discovery ProducesDelivery Consumes
Validated problems
Prioritized scope
User needs
Acceptance criteria
Risks & assumptions
Architecture decisions
Opportunity areas
Roadmap options

Discovery informs delivery—it does not replace it.

Research Scope Definition (Non-Negotiable)

Clavon never begins research without defining:

  • Target user segments
  • Decisions to be informed
  • Risks to be reduced
  • Time and cost constraints
  • Success criteria

Undefined research scope is waste by definition.

Research Methods (Pragmatic, Not Dogmatic)

Clavon selects methods based on risk and uncertainty, not preference.

Commonly Used Methods

Contextual interviews
Task walkthroughs
Journey validation
Workflow observation
Survey (only with clear hypotheses)
Usability testing (early, rough)
Concept validation (low fidelity)

We avoid:

  • Vanity surveys
  • Statistically meaningless samples
  • Polished prototypes before validation

Evidence Types We Look For

Clavon prioritizes behavioral evidence over stated preference.

Evidence TypeReliability
Observed behavior
High
Repeated patterns
High
Workarounds
Very high
Verbal opinion
Medium
Hypothetical preference
Low

Users tell you what they think. Their behavior tells you what matters.

From Insight to Design Direction (Critical Step)

Research is useless if it does not drive action.

Clavon translates insights into:

  • Problem statements
  • Design principles
  • Constraints
  • Acceptance criteria
  • Risk flags

Every insight must map to a decision or action.

Assumption Mapping & Risk Reduction

Clavon explicitly documents assumptions:

  • User behavior assumptions
  • Data availability assumptions
  • Regulatory assumptions
  • Integration assumptions
  • Operational assumptions

Each assumption is:

Validated

Deprioritized

Explicitly accepted as risk

Unstated assumptions are delivery landmines.

Discovery in Enterprise & Regulated Contexts

Discovery in these environments must consider:

  • Role complexity
  • Policy constraints
  • Approval hierarchies
  • Audit implications
  • System dependencies

We validate what is possible, not just what is desirable.

Speed Without Recklessness

Clavon discovery is:

  • Time-boxed
  • Focused
  • Integrated with delivery

Typical discovery cycles:

MVPs

1–2 weeks

Complex enterprise systems

2–4 weeks

Longer cycles require explicit justification.

Common Discovery Anti-Patterns (We Eliminate)

"Big upfront research" with no decisions

Designing before validating problems

Treating stakeholders as users

Ignoring operational constraints

Research outputs that cannot be reused

Discovery Outputs (Build-Ready)

Clients receive discovery artefacts that are immediately usable:

Validated problem statements

Prioritized user needs

Risk and assumption register

Journey validation findings

Design principles

Scope and roadmap inputs

No academic reports. No fluff.

Cross-Service Dependencies

This page directly supports:

  • Service Design & Journey Mapping
  • Software Engineering (Architecture & Scope)
  • QA & UAT Strategy
  • AI & Automation Design
  • Change Management & Adoption

Why This Matters (Executive View)

Without disciplined discovery:

  • Teams build the wrong thing faster
  • Scope explodes
  • Architecture is misaligned
  • Adoption fails

With disciplined discovery:

  • Decisions are defensible
  • Delivery risk drops early
  • Stakeholder alignment improves
  • ROI increases

Ready to Make Decisions That Actually Work?

Let Clavon help you conduct UX research and product discovery that reduces risk and accelerates adoption.