Product Design (UI/UX)

UX Research & Product Discovery

How Clavon validates problems, maps real user needs, and connects research findings to delivery decisions — so teams build the right thing.

The Problem

Why Product Discovery Fails

Discovery is the phase where the wrong decisions are cheapest to make. Most teams skip it or perform it ritually — producing documents that do not change what gets built. The result is validated assumptions, not validated problems.

Research is too slow or too academic to influence delivery
Insights are not connected to specific delivery decisions
Findings are presented without prioritization or action
Discovery is divorced from engineering constraints
Research is repeated across projects instead of institutionalized
Teams rely on assumptions when research feels inconvenient

The consequence:

Opinion-driven design — whoever speaks loudest wins
Late-stage reversals — validated at build, not before
Stakeholder disagreement — no shared evidence base
Wasted delivery effort — building the wrong thing faster
Principle

Discovery is not about gathering opinions. It is about reducing the risk of building something that does not work for the people who must use it — in the time available to make that decision.

What Discovery Answers

Four Questions Discovery Must Answer

Every discovery engagement is scoped to answer a specific set of decisions. Clavon defines these questions before research begins — and every method chosen must serve one of them.

01

What problem is the user actually trying to solve?

02

How is it solved today — including all workarounds?

03

Where does friction, delay, or risk occur, and why?

04

What solution options are viable within real constraints?

Research Methods

Methods Chosen for the Decision, Not the Budget

Clavon selects research methods based on what decision needs to be made — not what is most familiar or most comfortable. Every method has a purpose and a scope.

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

Methods to avoid:

Vanity surveys — no clear hypothesis, no actionable output
Statistically meaningless samples
Polished prototypes tested before the problem is validated
Evidence Reliability

Not All Research Evidence Is Equal

Clavon weights research evidence by reliability. Observed behavior outweighs stated preference. Workarounds are the strongest signal of all — they reveal what the system fails to provide.

Observed behavior

High

Repeated patterns

High

Workarounds

Very high — the strongest signal

Verbal opinion

Medium

Hypothetical preference

Low — treat as directional only

Discovery → Delivery

Research Outputs Map Directly to Delivery

Every discovery output has a delivery counterpart. Research findings do not sit in a report — they are translated into the artifacts that shape what gets built.

Discovery produces

Validated problems

Which informs

Prioritized scope

Discovery produces

User needs

Which informs

Acceptance criteria

Discovery produces

Risks & assumptions

Which informs

Architecture decisions

Discovery produces

Opportunity areas

Which informs

Roadmap options

Insight Translation

Insights Must Be Actionable

Raw research findings do not drive delivery decisions. Clavon translates findings into structured outputs that can be directly consumed by design, architecture, and product management.

Problem statements — what needs to be solved
Design principles — how to approach the solution
Constraints — what cannot be compromised
Acceptance criteria — how success will be measured
Risk flags — what remains uncertain
Assumptions Register

Assumptions Must Be Named and Tracked

Every project carries assumptions. Discovery does not eliminate them — it identifies and ranks them. Clavon maintains a live assumption register through delivery.

User behavior assumptions
Data availability assumptions
Regulatory or policy assumptions
Integration and system assumptions
Operational assumptions

Discovery cadence:

MVPs and early products

1–2 focused weeks

Complex enterprise systems

2–4 weeks structured discovery

Enterprise Research Context

Enterprise Discovery Is Different

Research in enterprise and regulated environments requires specific design. Users operate under role, policy, and compliance constraints that fundamentally shape what is discoverable and how findings translate into design requirements.

Role complexity — many roles with different needs and constraints
Policy constraints — mandatory steps, restricted actions
Approval hierarchies — not all decisions are self-service
Audit implications — research findings may be referenced later
System dependencies — solutions must fit real technical constraints
Anti-Patterns

Discovery Anti-Patterns

"Big upfront research" that produces a report, not decisions
Designing before the problem is validated
Treating stakeholders as users — they have different goals
Ignoring operational and system constraints in research scope
Research outputs that cannot be reused or institutionalized
What We Deliver

Deliverables

Validated problem statements
Prioritized user needs and goals
Risk and assumption register
Journey validation findings
Design principles for the engagement
Scope and roadmap inputs
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Validate the Problem Before Building the Solution

Clavon conducts structured product discovery that reduces delivery risk, aligns teams on evidence, and connects research directly to design and architecture decisions.