Oas Rajvanshi
Download CV

Practice

How the pieces connect

The concepts and methods I work with, and how they lean on each other. Hover a concept to see its links, or hover a colour on a project to light up that area of practice.

Where it shows up

  • OrbitHopSpace Logistics & Strategy
  • LIFEVERSEBusiness Strategy & AI
  • CareGridSystem Design
  • DVIJABag Design
  • LEAPTextiles
  • ORIGNSocial Innovation & Platform Strategy
  • WellthSocial Venture & Fintech Strategy
  • Craft Revival and DocumentationCluster Research
  • COL-LabPlatform & Community Strategy
  • Cord StudioVisual Communication

Hover or tap a concept to see what it connects to. Drag a concept to rearrange the map.

Concepts and methods, by area of practice

Systems

  • Systems Thinking: Seeing a problem as interacting parts, feedback loops and incentives, so interventions target causes instead of symptoms.
  • Systems Mapping: Causal loop diagrams and iceberg analysis that surface the structures and mindsets behind visible events.
  • Wicked Problems: Working on challenges with no single owner, shifting boundaries and competing stakeholders by reframing them into workable questions.
  • Stakeholder & Journey Mapping: Charting who is involved, what each needs and how experiences unfold over time, to find friction and leverage.
  • Ecosystem Design: Designing how partners, users, platforms and incentives fit together so value flows between them.
  • Backcasting & Foresight: Starting from a desired future and working back to the decisions needed now, and scanning for early signals of change.

Strategy

  • Enterprise Strategy: Setting long-term direction, choices and trade-offs for an organization.
  • Go-to-Market Strategy: Choosing segments, channels, partners and positioning to bring an offer to market, including B2B routes across Europe and the Gulf.
  • Market Entry & Expansion: Sizing an opportunity and sequencing entry into new regions and customer segments.
  • Competitive & Market Analysis: Mapping the landscape to find the position others have left open.
  • Strategic Partnerships: Structuring relationships with buyers, vendors and institutions that extend an offer's reach.
  • Product Strategy: Deciding what to build, for whom and in what order, tied to commercial outcomes.
  • Operating Model Design: Aligning workflows, roles and systems so an organization can deliver its strategy.

Business Models

  • Business Model Design: Defining how an offer creates, delivers and captures value.
  • Value Proposition: Turning insight into a clear promise for a specific user.
  • Platform & Marketplace Design: Structuring two-sided exchanges, governance and incentives so a network can grow.
  • Financial Modeling: Testing viability through unit economics, forecasts and funding needs.
  • Scaling Strategy: Planning how a model grows through partners, resources and revenue without losing its purpose.
  • Circular Business Models: Business models that keep materials and value in use for longer.

Research

  • Qualitative Research: Interviews, focus groups and expert conversations that explain people in context.
  • Need-Finding: Locating the unmet need behind what people say they want.
  • Research Synthesis: Turning raw material into themes, insights and design criteria.
  • Trend & Consumer Insight: Reading cultural and market signals to anticipate demand.
  • Behavioral Data Analysis: Using patterns in behavior to time and shape guidance.

Design

  • Service Design & Blueprinting: Mapping front-stage experience and back-stage operations as one system.
  • Experience Design: Shaping touchpoints into a single, coherent experience.
  • Prototyping & Validation: Making ideas testable early and learning from real users before committing.
  • Visual Storytelling: Communicating strategy through clear visuals, narrative and presentation.
  • Craft & Material Insight: Reading material, making and community constraints before designing around them.

Leadership & Ethics

  • Facilitation & Workshop Design: Running sessions that surface disagreement and move a group to a decision.
  • Cross-Functional Leadership: Aligning designers, operators and commercial teams around a single plan.
  • Agile Design Sprints: Short cycles of build, test and learn that shorten time to market.
  • Pitch Narratives: Building the story and the ask for investors and partners.
  • Ethical Leadership: Leading with explicit ethical criteria, emotional intelligence and awareness of power in organizations with many stakeholders.
  • Ethical Analysis: Applying principle-based and alternative ethical frameworks to real organizational decisions.
  • Culture & Psychological Safety: Shaping the norms and structures that decide whether people can speak up and decisions stay accountable.
  • Accountability & Governance: Defining who answers when a system acts, and writing its limits and terms of use.

Impact

  • Theory of Change: Linking activities to outcomes and long-term impact, with the assumptions stated.
  • Equity-Centered Design: Designing with, not for, the people most affected.
  • Sustainability & Regenerative Design: Working within planetary and social limits.
  • Impact Metrics: Defining what success means beyond profit, and how to measure it.
  • Economic Design: Treating markets and incentives as things that can be redesigned.
  • Pluriversal & Inclusive Design: Designing for many worldviews and knowledge systems, including decolonial and Indigenous perspectives.

AI & Platforms

  • Platform Economics: How layered platforms concentrate market power through data ownership and algorithmic control.
  • AI Strategy: Where AI creates value in a product or organization, and where it needs guardrails.
  • AI-Assisted Prototyping: Using AI tools to build and test working concepts quickly.
  • AI Agent Design: Specifying an agent's task, user, tools and success criterion before building it.
  • Agent Testing & Evaluation: Measuring how often an agent works with test sets and a calibrated judge, and finding where it breaks.
  • Agent Orchestration: Coordinating groups of agents with supervision, verification loops and agent-to-agent protocols.
  • AI Infrastructure Analysis: Drawing the stack beneath an AI product, from chips and cloud to models and apps, and who owns each layer.

Where it came from

None of this arrived at once

These ideas built up over years, from craft research and product work to enterprise strategy and systems design. History traces that path, one stage at a time.

See the history →