Seedlabs

GlideTour: Force-Feedback Guided Tours for Dashboard Onboarding

A guide that physically pulls a new user's cursor to the right buttons and panels while explaining a dashboard.

A force-feedback mouse and embeddable SDK that leads new users through a dashboard by gently pulling their cursor to each component and holding it there while it is explained — onboarding guidance delivered through the hand instead of more on-screen arrows and pop-ups.

Computer ScienceData Visualization and Analytics
Cognitive-Adaptive Visual AnalyticsEnterprise BI dashboard onboarding — rolling out new analytics dashboards to thousands of employees.

Concept

Onboarding users to a complex dashboard today means visual overlays: numbered tooltips, arrows, and highlight boxes, which tools like D-Tour can already generate semi-automatically [2,5]. These overlays compete for the very screen space they explain and add to the visual clutter that the Cognitive-Adaptive Visual Analytics theme flags as a working-memory cost. GlideTour moves the guidance channel off the screen and into the pointer. Dashboard teams author a tour as a sequence of waypoints (or import one from a D-Tour-style generator); the SDK translates each step into the two force-feedback modes demonstrated in paper [0]: a gentle pull that directs the user's hand to the next component, then a soft constraint that keeps the cursor within that component's region while the explanation plays, then a clean release. The paper's central caveat — that guidance must be used with restraint — is encoded as product rules: capped force, gradual ramps, instant release the moment the user pulls away, and a per-session haptic time budget. The offering is (a) a JavaScript library BI tools embed and (b) a reference design for a force-feedback mouse (the study hardware) that OEMs can license.

Why now

Paper [0] reports a working force-feedback mouse integrated with a data visualization and a user study across different degrees of pulling and constraining guidance on navigation tasks, finding significant quantitative and qualitative changes in behaviour and experience — and concluding that pulling suits directing (go here next) and constraining suits prescribing (stay with this), exactly the two moves an onboarding tour needs. Guided-tour research [2,5] has already solved tour generation but delivers tours visually; GlideTour is the missing haptic delivery layer, and the paper's restraint finding gives it a defensible comfort design rather than a gimmick.

Written by GLM · 11 Oct 2026

AI assessment

Backed by 3 papers61

A high-concept hardware-software bundle that replaces visual onboarding clutter with haptic guidance, though it faces a massive adoption hurdle due to the requirement for specialized hardware.

Evidence strength
4/5
The idea directly maps the 'pulling' and 'constraining' findings from the force-feedback paper to the specific needs of a guided tour, supported by the D-Tour research on tour generation.
Market pull
2/5
While BI tools have a need for better onboarding, it is unlikely that enterprise employees will be issued specialized force-feedback mice solely for dashboard onboarding.
Novelty & moat
4/5
It moves the onboarding interaction from the visual plane to the haptic plane, distinguishing it from the existing software-only onboarding engines in the catalog.
Feasibility
2/5
Building the SDK is straightforward, but creating a commercially viable, mass-market force-feedback mouse is a significant hardware engineering and distribution challenge.
Wedge clarity
3/5
The focus on BI dashboard onboarding is a clear entry point, but the wedge is blunted by the hardware dependency.
Simplicity / focus
3/5
The product is focused, but the business model is split between a software SDK and a hardware reference design, increasing complexity.

Scored by Gemma 4 · 11 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

  • Logitechcompany

    Logitech sells premium pointing devices to office workers; a force-feedback analytics mouse built on the study hardware design opens a new premium SKU co-marketed with BI vendors.

  • Microsoftcompany

    Power BI is deployed across huge enterprises where new dashboards constantly need onboarding; a haptic tour option (with a partner mouse) cuts per-rollout training effort and differentiates Power BI against static tooltip tours.

  • Tableau dashboards are feature-dense and first-time users get lost; haptic guided tours would let customer-success teams onboard client users faster and reduce where-do-I-click support tickets.

  • Qlikcompany

    Qlik's associative selection model confuses newcomers; pulling the cursor toward the next relevant selection teaches the association flow by feel.

Research it builds on

  1. D-Tour: Semi-Automatic Generation of Interactive Guided Tours for Visualization Dashboard Onboarding
    Vaishali Dhanoa, Andreas Hinterreiter, Vanessa Fediuk et al. · 2023 · 2 citations
    All ideas from this paper →
  2. D-Tour: Semi-Automatic Generation of Interactive Guided Tours for Visualization Dashboard Onboarding
    Vaishali Dhanoa, Andreas Hinterreiter, Vanessa Fediuk et al. · 2024 · 2 citations
    All ideas from this paper →
  3. Highways and Tunnels: Force Feedback Guidance for Visualisations
    Sarah Fjelsted Alrøe, Eve E. Hoggan, Hans‐Jörg Schulz · 2024 · 1 citations
    All ideas from this paper →
Leave feedback
feasibility