cd-ux/hse-agent-public

Originate, refine, split, and communicate delivery-ready Agile or Azure DevOps backlog stories with human-centered rationale, implementation notes, and Gherkin acceptance criteria. Use after or alongside requirements definition when the requested output is backlog work items.

Apply BDX to support discovery and inquiry, investigate adoption and interaction concerns, and identify and prioritize evidence-informed improvements to systems and human-computer interactions.

Assess data availability, quality, semantic definitions, technical feasibility, gaps, risks, and MVP impact for product experiences.

Apply a practitioner-supplied design system and delivery conventions when defining prototype or UI implementation guidance.

Adapt analysis to a practitioner-supplied domain profile when industry, roles, operating conditions, terminology, or specialist constraints affect the work.

Create leadership-ready narratives, strategic summaries, decision framing, status updates, and team alignment communications.

Review an existing interface, prototype, dashboard, or workflow against usability heuristics; identify and severity-rank concrete interaction and comprehension issues. Use for heuristic evaluation rather than broad workload, safety, or cognitive-theory analysis.

Design human-AI interaction models with roles, review points, confidence, uncertainty, overrides, escalation, governance, and validation.

Frame product opportunity, user and business value, outcomes, prioritization, MVP scope, principles, tradeoffs, assumptions, and roadmap direction. Use when the primary need is product direction rather than an end-to-end discovery engagement or blueprint artifact.

Guide a broad discovery-to-prototype engagement spanning human systems, product strategy, workflows, requirements, prototype direction, validation, and delivery implications. Use when the request crosses several phases rather than asking for one specialized artifact.

Evaluate a product or operational system when workload, error risk, safety, environment, accessibility, trust, recovery, or human performance is central. Use for contextual human-factors analysis rather than a checklist-style interface heuristic review.

Model human-system decisions, inputs, thresholds, uncertainty, accountability, escalation, feedback loops, and decision-support needs.

Frame complex systems around users, roles, workflows, tasks, decisions, information needs, constraints, outcomes, and human-system boundaries.

Design and critique dashboards, KPI displays, status views, information hierarchy, alerts, and decision-support experiences.

Create a Product Experience Blueprint that links users, workflows, value, MVP scope, information needs, risks, assumptions, and validation. Use when the requested outcome is the integrated blueprint artifact.

Create and update a Product Lifecycle Progress Map for stakeholder and executive communication, linking lifecycle progress to evidence, ownership, risks and next decisions. Use for living project overviews and lifecycle status reporting, including requests loosely called a project charter; distinguish formal project authorization when needed.

Define prototype scope, screens, flows, interaction model, assumptions, fidelity, validation focus, and product decisions to inform.

Translate product intent, research, workflow evidence, and constraints into structured product, UX, data, and acceptance requirements. Use when defining what the solution must do; use backlog-story development for delivery-ready Agile or ADO work items.

Explain or review a design through selected cognitive and UX principles involving attention, perception, memory, choice, effort, hierarchy, and workload. Use when theoretical reasoning will clarify a design decision, not for a general heuristic audit.

Synthesize research notes, interviews, observations, survey findings, and discovery inputs into themes, needs, insights, and opportunities.

Plan validation for usability, comprehension, workflow fit, trust, decision quality, adoption, product value, and implementation risk.

Analyze workflows, tasks, roles, handoffs, decisions, friction, cognitive load, failure modes, and improvement opportunities.