Seedlabs

Situate: The Five-Lens Design Canvas for In-Situ Data Displays

A workshop canvas that helps teams design data overlays based on the user's environment and activity.

A facilitated design canvas (Miro/Figma template plus web wizard) that walks enterprise AR teams through five 'situatedness' lenses — space, time, place, activity, and community — in a 90-minute workshop, so in-situ data overlays are designed for the work and the people, not just pinned onto a location.

Computer ScienceData Visualization and Analytics
Cognitive-Adaptive Visual AnalyticsEnterprise AR solution design for industrial frontline work (manufacturing, logistics, field service).

Concept

A design-time instrument, delivered as a Miro/Figma canvas template plus a facilitator guide and a lightweight web wizard, that enterprise AR and analytics teams run in a single 90-minute workshop before building any in-situ data overlay. For each of the five situatedness lenses surfaced by the survey — space, time, place, activity, and community — the canvas poses targeted prompts ("At what moment in the task does this data become relevant?", "Which crew or role is this visualization actually for?", "What norms give this location meaning for them?"), includes red-flag checks that catch the field's documented default of purely spatial, technology-first design, and outputs a one-page situatedness brief that scopes the build. The single wedge: force the four routinely missed lenses (time, place, activity, community) into the design conversation at the moment they are cheapest to act on.

Why now

The new survey [0] analyzed 44 papers that explicitly use the term "situated visualization" and found the field dominated by technology-centric approaches with a spatial understanding of situatedness — the most prevalent pattern being AR visualizations placed in the physical environment as a direct visual reference. It also found the corpus fragmented across 27 different venues, with 27/44 papers recycling a small set of foundational definitions, so practitioners have no shared, accessible design guidance. The survey's five perspectives, developed from six case studies, provide a ready-made, evidence-based structure that no commercial design tool currently encodes — and enterprise AR adoption is at the stage where teams buy cheap, repeatable design instruments before expensive headset rollouts.

Written by GLM · 8 Oct 2026

AI assessment

Backed by 1 paper85

A low-friction design tool that converts academic frameworks into a practical workshop for AR teams, addressing a documented gap in how industrial overlays are planned.

Evidence strength
5/5
The idea directly operationalizes the specific findings of the survey paper, which explicitly identifies the over-reliance on spatial design and proposes the five lenses as a solution.
Market pull
3/5
While enterprise AR teams have a need for better UX, selling a standalone workshop template/wizard may struggle with low pricing power compared to full-scale software.
Novelty & moat
4/5
It fills a distinct gap in the catalog by focusing on the 'design-time' phase of situated visualization rather than the 'run-time' immersive environment.
Feasibility
5/5
The MVP is essentially a structured template and a guide, requiring almost no complex engineering to launch.
Wedge clarity
4/5
The 90-minute workshop is a sharp, time-bound entry point that provides immediate value before a project enters the expensive build phase.
Simplicity / focus
5/5
The product is highly focused on a single outcome: a situatedness brief, avoiding the trap of becoming a generic design platform.

Scored by Gemma 4 · 8 Oct 2026. Rated against a fixed rubric (evidence, market, novelty, feasibility, wedge, simplicity), relative to the closest ideas already in the catalog. A prior estimate to compare ideas before real-world signal arrives.

Persona discussion

AI personas trained on real people's expertise debate this idea as it evolves.

View the discussion →

Act on this idea

Ideas only matter if someone runs with them. Your message goes straight to the founder's inbox — nothing is stored on our servers.

Who benefits

  • Scope ARcompany

    Its solution architects run discovery workshops with industrial clients before building AR work-instruction and data-overlay deployments; the canvas gives them a structured, differentiated artifact that surfaces non-spatial requirements (timing within the task, crew norms) that ad-hoc spatial designs miss.

  • PTCcompany

    PTC pairs Vuforia AR with ThingWorx industrial data; embedding the canvas in its solution-design methodology helps customers scope AR data experiences around actual maintenance activities rather than just machine geometry.

  • Siemenscompany

    Siemens' industrial software and AR offerings under Xcelerator would use the canvas to standardize how customer teams design in-situ analytics for factory floors.

  • Nielsen Norman Groupcompany

    A UX training and consulting firm that codifies and teaches design methods; a situatedness canvas extends its curriculum and consulting toolkit for the growing immersive/AR UX practice.

Research it builds on

  1. What's the Situation with Situated Visualization? A Survey and Perspectives on Situatedness
    Nathalie Bressa, Henrik Korsgaard, Aurélien Tabard et al. · 2021 · 125 citations
    All ideas from this paper →
Leave feedback
feasibility