So you help my team “move” and focus on what matters… but how?

• Accessibility evaluation & compliance (WCAG, ADA) >

  • Designing for users of all abilities—making products usable, navigable, and equitable by applying WCAG/ADA and inclusive design principles.

• Card Sort & Tree Testing >

  • Card sorting uncovers how users group information; tree testing verifies if people can find content in a proposed IA. Together, they validate information architecture.

• Contextual inquiry & field studies >

  • Observing and interviewing users in their real environment to uncover authentic behavior and hidden needs.

• Customer journey & experience mapping >

  • Visualizing each touchpoint someone has with a product or service to uncover emotional highs, friction points, and opportunity areas across the full experience.

  • Example: Medical Tourism Case Study

• Diary studies >

  • Participants log behaviors and experiences over time—capturing real-life context and how habits evolve. Best for understanding how people use products in their natural environment.

• Exploratory concept testing

  • Testing early product ideas (even pre-design) to assess appeal, clarity, and intent—so teams decide what’s worth building.

• Focus groups & interviews >

  • Focus groups surface reactions in a group setting; one-on-one interviews dive deep into individual experiences and motivations.

• Heuristic evaluations

  • A rapid, expert evaluation using established usability principles (heuristics) to identify issues and recommend improvements.

• Information architecture (IA) >

  • Organizing and labeling content so people can navigate intuitively—balancing structure, hierarchy, and user expectations.

• Jobs-to-be-done interviews & analysis >

  • Understanding the progress users seek (their “jobs”) and why they choose solutions—so design targets real outcomes.

• Participatory design workshops >

  • Co-design sessions where users help generate solutions, ensuring outcomes reflect real needs and context.

• Persona development >

  • Personas are semi-fictional characters based on real user data, used to build empathy and guide design decisions.

• Research framework & playbook creation >

  • Establish reusable research methods, templates, and standards so teams can conduct consistent, scalable, repeatable research.

• Support documentation writing >

  • Crafting help content (guides, tooltips, FAQs, onboarding flows) that aids understanding and smooths adoption.

• Usability testing (moderated & unmoderated) >

  • Moderated testing involves guiding users through tasks; unmoderated testing lets users perform tasks independently online. Both uncover usability issues and inform design.

  • Example: Direct Express case study

• A/B testing >

  • Experiments comparing two variants to see which performs better; I plan tests and interpret results, partnering with analytics for setup, tracking, and significance checks.

• Statistical/data analysis >

  • Using statistical methods (like regression, correlation analysis, data clustering) to extract deeper insights and validate design hypotheses at scale. Offers actionable, evidence-based decision-making power.

• Behavioral analytics >

  • Analyze in-product behavior (click paths, session flows, engagement) to identify patterns, friction, and opportunities.

• Competitive benchmarking >

  • Benchmark usability metrics (e.g., task success, time-on-task, satisfaction/SUS) against competitors to understand relative performance.

• KPI capture & analysis >

  • Define, instrument, and review UX KPIs (conversion, retention, task completion) to evaluate experience impact on business outcomes.

• Large-scale online surveys >

  • Deploy structured questionnaires to large samples to capture statistically reliable attitudes and behaviors (with proper sampling and bias controls).

• Multivariate testing >

  • Test multiple element combinations (beyond A vs. B) to find the best-performing mix—requires sufficient traffic

• Product & market performance metrics

  • Track activation, retention, churn, and feature adoption to assess how UX changes influence product growth.

• Regression analysis >

  • Model relationships between experience changes and outcomes (e.g., design updates → conversion) to estimate impact and forecast results

• Agile/project management tooling

  • Tools (e.g., Jira, Trello) that integrate UX work into agile workflows so research, design, and dev track in one flow.

• Backlog prioritization >

  • Sequence work with methods like RICE and MoSCoW to maximize impact relative to effort.

• Business case development >

  • Build a structured, evidence-based argument for funding or go/no-go decisions.

• Change management & adoption strategy

  • Plan how new tools or processes roll out and get adopted across the org.

• Competitive analysis >

  • Benchmark against competitors to identify strengths, gaps, and strategic opportunities.

• Customer segmentation & ecosystem mapping

  • Group users meaningfully and map touchpoints across the broader product/service ecosystem.

• Design experiments with clear success metrics

  • Create experiments with predefined KPIs to learn quickly and reduce risk.

• Design Thinking Workshop creation & facilitation

  • Plan and run structured sessions where cross-functional teams generate user-centered solutions.

• Executive communication & storytelling

  • Frame insights and product bets as concise narratives that drive decisions.

• Go-to-market planning & readiness >

  • Coordinate launch activities (messaging, training, support) so products ship smoothly.

• KPI & metrics definition/tracking

  • Select and monitor meaningful indicators of product health and direction.

• Market research & opportunity sizing

  • Assess markets, trends, and demand size to confirm strategic viability.

• MVP scoping/definition

  • Define the smallest valuable product to learn before further investment.

• Product vision & strategy development

  • Craft a long-term direction aligned to market opportunity and company goals.

• Innovation portfolio management

  • Balance initiatives by value, risk, and strategic fit.

• Risk assessment (viability, feasibility, desirability)

  • Evaluate ideas across business, technical, and user dimensions.

• Project management leadership

  • Lead cross-functional teams to deliver roadmap milestones and maintain cohesion.

• Requirement definition

  • Translate user needs and strategy into clear, buildable specifications.

• Roadmapping

  • Visualize what ships when—and why—aligned to strategy and stakeholder expectations.

• Service design

  • Align front-stage interactions with backstage processes at the system level.

• Sprint planning

  • Structure short, time-boxed cycles to test and iterate fast.

• User stories & acceptance criteria

  • Write clear user-centered work items with testable acceptance.

• Usage & engagement analytics

  • Track interactions over time to inform product adjustments.

• Wireframe & low-fidelity prototyping

  • Sketch early flows and structure to test concepts before polish.

See it in action: Medical Tourism >

• Business case development

  • Build structured, evidence-based arguments (financial + strategic) to secure investment or approval.

• Conflict resolution

  • Manage disagreements constructively—preserving relationships and momentum while moving teams forward.

• Cross-functional collaboration

  • Align design, product, sales, and engineering on shared outcomes via clear roles, rituals, and decision rules.

• Cross-sell/upsell strategy

  • Identify and sequence adjacent value propositions to increase lifetime value without eroding trust.

• Customer health analysis & performance tracking

  • Track usage, satisfaction, and renewal risk; maintain health-score dashboards to drive proactive engagement.

• Customer success planning & onboarding strategy

  • Design onboarding journeys that accelerate time-to-value and reduce early churn.

• Driving outcomes through product roadmaps

  • Use the roadmap to align stakeholders on outcomes (not just features) and to stage measurable bets.

• Executive sponsor narratives

  • Craft concise, executive-ready stories (1-pagers, sponsor decks) that tie user insight to business value.

• Executive stakeholder advisory

  • Advise leadership on priorities and trade-offs using research-backed recommendations.

• Mentorship & team leadership

  • Coach individuals and teams toward clarity, alignment, and consistent delivery.

• Negotiation & renewal management

  • Lead renewals and expansions; align value, pricing, and terms to sustain long-term relationships.

• Partner ecosystem development

  • Build and manage partnerships that extend capability, reach, and credibility.

• Presentation creation & delivery

  • Create and deliver narrative visuals that inform, persuade, and align decision-makers.

• Relationship mapping & stakeholder alignment

  • Map influence networks, decision paths, and blockers to target communication and win consensus.

• Risk management

  • Maintain RAID logs and mitigation plans to reduce delivery, adoption, and reputational risk.

• ROI & value realization analysis

  • Quantify financial and strategic impact (savings, revenue, risk avoided) to prove value realized.

• Salesforce & CRM management

  • Use CRM (e.g., Salesforce) to track relationships, pipeline, health, and activity with clean data hygiene.

• Stakeholder consensus building

  • Facilitate decisions among competing priorities; document trade-offs and owners.

• Strategic account planning

  • Map clients’ goals and align services, milestones, and success metrics to their strategy.

• Technical solution demonstrations

  • Tailor live demos to the buyer’s context—showing how the product solves real problems end-to-end.

• Value proposition design

  • Articulate differentiated value in plain language for specific audiences and moments in the journey.

• Workshop & multi-party meeting facilitation

  • Design and run sessions that align cross-company groups on decisions or co-create outcomes.

• Workshop-to-implementation transition

  • Translate workshop outputs into owners, timelines, and measurable next bets; track to closure.

• SQL (in-progress)

  • What it is:
    The standard language for relational databases—used to query, join, and aggregate structured data.

  • Why it matters:
    Lets me pull precise cuts from source data (e.g., a monthly step-funnel drop-off) to triangulate qualitative findings.

  • Scope:
    SELECT/WHERE/ORDER BY; INNER/LEFT JOIN; GROUP BY/HAVING; date functions. Partner with analytics for schemas, performance, and production pipelines.

• Python (in-progress)

  • What it is:
    A general-purpose language with rich data libraries—ideal for quick analysis notebooks and automation.

  • Why it matters:
    Enables fast scripts/notebooks to clean, merge, and summarize datasets and produce takeaway charts—without heavy engineering.

  • Scope:
    Pandas for read/clean/join/pivot; matplotlib for quick visuals; Jupyter notebooks. Partner with analytics for large datasets or experimental design.