zachgonser

product software

OffScript

A privacy-focused iOS podcast application with on-device recommendations.

Status
in development
Last verified
Users
Podcast listeners
Tools
Swift · SwiftUI · Xcode · iOS Simulator

No public links are recorded for this case study.

Challenge and constraints

Podcast discovery should improve without exporting a listener's behavior to an advertising profile.

Constraints

  • Recommendation inputs and taste data stay on device
  • No behavioral analytics
  • iOS accessibility and reduced-motion requirements apply
  • The product remains in development

What I owned

Product definition, privacy requirements, interaction direction, AI-assisted implementation review, simulator quality assurance, and accessibility review.

Ownership

  • Define product flows
  • Set privacy requirements
  • Review AI-assisted implementation
  • Own simulator and accessibility review

Decisions and implementation

The decisions define the boundary; the implementation records what was delivered inside it.

Decisions

  • Keep recommendations and taste data on device
  • Use privacy-bounded diagnostic telemetry with no behavioral analytics

Implementation

  • First-run preference setup
  • Local recommendation and taste model
  • Return-to-listening home
  • Saved library
  • Playback and queue flows
  • Privacy-bounded diagnostic telemetry

Validation

Evidence is checked against the surface it is meant to demonstrate.

Checks

  • Simulator walkthrough
  • Empty and populated state review
  • Reduced-motion and accessibility review

Evidence-backed outcomes

Each delivered result is paired with the public proof basis that supports it.

  • Delivered working onboarding, home, library, and playback flowsBasis: Shown in the four approved simulator captures.
  • Kept recommendation inputs and taste behavior on deviceBasis: Documented in the privacy-flow diagram and public repository privacy requirements.
  • Established documented simulator, privacy, and accessibility review pathsBasis: Supported by simulator walkthrough and reduced-motion and accessibility review records.

Evidence gallery

Each artifact is selected for what it explains and reviewed for public safety.

OffScript onboarding screen describing on-device podcast recommendations
product evidenceOnboarding explains the product's privacy-first recommendation model.Shows the implemented first-run flow and its on-device recommendation commitments.
OffScript podcast application home screen with a populated listening surface
product evidencePopulated home and recommendation surface.Shows the implemented iOS home experience with a clear return-to-listening action.
OffScript diagram showing podcast preferences and listening taste remaining on device while bounded diagnostics exclude behavioral analytics
system evidenceOn-device privacy and diagnostic boundary.Explains the documented separation between local recommendation behavior and privacy-bounded diagnostic telemetry.
OffScript library screen with podcast browsing and listening controls
validation evidenceLibrary view for browsing saved shows and listening state.Shows the app's structured library, filtering, and continuation controls on a seeded simulator state.
OffScript now-playing screen with transport controls and queued listening
validation evidenceNow-playing screen with local listening controls.Shows the focused playback experience, transport controls, and a queued next episode on a seeded simulator state.

No public project relationships are recorded for this case study.