Product Case Study
Executive Companion Pulse
A 0→1 executive mobile companion that turned platform telemetry into a fast, trusted operating view.
Secure mobile access, glanceable health metrics, and configurable dashboards gave executives product and platform visibility between meetings — built and shipped to production.
Product
0→1 mobile app
Stack
React Native + TypeScript
Auth
Okta
Rollout
LaunchDarkly
Observability
DataDog
Shipped
Apple App Store approved
Approach
AI-assisted development
82
Executive Snapshot
+3%Revenue Health
+12%Audience Health
+6%Deliverability Health
+4%Engagement Quality
+1%Product Momentum
-9%Pipeline Reliability
+2%Active Risks
Product momentum trending down 9% this week
3 audience segments showing reduced engagement this week
Opportunities
Revenue trending toward a new high this month
Engagement quality up across top segments
Deliverability holding steady near an all-time high
Representative Product Demonstration — This page recreates the product experience using original HTML/CSS components and synthetic data. It illustrates the product concepts, UX, and technical implementation while avoiding reproduction of proprietary interfaces.
Case Study
The story behind the product
The Insight
Executives had data — just not fast access to it
Executives had access to platform and product data, but it was fragmented across desktop dashboards, static reports, Slack and email updates, and status meetings. The gap wasn't more dashboards — it was faster confidence between meetings.
The Product Thesis
Compress the operating view, not replicate the desktop
Mobile shouldn't recreate a desktop analytics workspace. The right experience is glanceable, secure, and configurable — trusted enough that executives could check in confidently between meetings.
The Outcome
From side project to executive-sponsored initiative
After an internal demo, executive interest helped rally a team around the concept and move it from an unofficial effort into a funded, production-grade mobile initiative that shipped to the App Store.
My Role
Sole product owner, concept to shipped app
Product Leadership
- Market research and competitive analysis
- Persona definition and use-case mapping
- Requirements and acceptance criteria
- MVP scope and phased rollout strategy
- Roadmap and investment case
Technical Direction
- React Native and TypeScript
- GraphQL API integration
- Okta authentication integration
- LaunchDarkly feature flags and phased rollout
- DataDog RUM and production observability
- Automated test coverage
~75
Days
261
Commits
63
Test Files
748
Test Cases
~75,000
Lines of Code
Customer & Account Activity
Account activity, without digging through reports
- Rather than asking executives to dig through account reports or wait for team summaries, the mobile view surfaced account activity and status indicators in a compact format for quick review.
- High-level activity and adoption indicators helped highlight where executive attention might be needed — not churn prediction or account intelligence modeling.
- Kept scoped to accounts and engagement — product-level signals get their own dedicated view, described next.
1,284
Active Accounts
76
Avg. Engagement Score
231
New Customers
What To Do
- Review the 3 accounts flagged for reduced activity this week.
- Prioritize outreach to accounts trending from Growing to Stable.
- Scale successful engagement patterns while momentum is positive.
Account Activity Overview
Account Status Mix
- New18%
- Growing34%
- Stable31%
- Needs Attention17%
Web Behavioral Signals
Where visitors come from, and what they do next
- Real customer-facing behavioral telemetry — page views, product views, cart adds, search, and abandonment — read at an executive level, not an analyst workspace.
- A traffic-source-to-signal flow showed where activity originated (direct, search, social, email) and what it turned into, alongside a straightforward view→product→cart→order funnel.
- Trend indicators and freshness timestamps kept the view grounded in current data, not static reports.
Signal Health
79
+3%Updated 6m ago
Signal Types
Traffic Source → Signal
Signal Funnel
Signal Timing Pattern
Product Intelligence
Catalog signals, without leaving the app
- Built on the same product catalog capability from a separate 0→1 initiative — surfaced here as an executive-level view of what's moving.
- Top-performing categories and the product funnel (views, cart adds, purchases, abandonment) gave a fast read on where interest was and wasn't converting.
- A drill-in, not a full commerce dashboard — enough for an executive to spot a trend, not run a merchandising review.
Top Categories
Product Signals
The product funnel behind the top-line numbers — views, cart adds, purchases, and abandonment.
Interest vs. Conversion
Internal Telemetry
A separate lens, for a separate audience
- Reached from a menu, not the main tab bar — an internal-only diagnostic view for the team building the product, kept fully apart from customer-facing signals.
- Mobile screen views (via production RUM/observability) and web platform feature-area usage, broken out into their own tabs.
- When you're in this view, none of the other tabs apply — it's effectively its own small, separate app.
Internal Telemetry
Diagnostic-only view of how the tool itself is used — kept fully separate from customer-facing data.
Active Internal Users
34
+8%Sessions (7d)
612
+5%Crashes / Errors
3
-40%Executive Brief
Deterministic by default. AI-enhanced on your terms.
Every day, the app assembled an executive brief — What Changed, What To Watch, What's Working, and Recommended Actions — calculated directly from platform and product telemetry using fixed rules and thresholds. Add your own Anthropic, OpenAI, or Gemini API key in Settings, and that same trusted foundation gets described in AI-generated language instead — the same facts, put more naturally. Try the toggle below. The next step is a fully proactive agent that surfaces this on its own, not just on request.
Today's Executive Brief
Every brief ships with a deterministic baseline. Bring your own API key in Settings and the same facts are described with AI-generated language instead.
What Changed
Product momentum dipped this week
Calculated automatically from usage telemetry — a rules-based comparison against the prior period.
What To Watch
A handful of accounts show reduced engagement
Flagged deterministically once an account crosses a defined engagement-decline threshold.
What's Working
A usage trend is accelerating ahead of plan
Surfaced by a fixed rule comparing current trend velocity against target.
Recommended Actions
Review accounts with declining engagement
A standing recommendation tied directly to the watch-list rule above.
Outcome
What happened
- Gave executives and product leaders faster mobile access to trusted platform, product, and operational signals.
- Created a production-ready mobile foundation for executive visibility.
- Reduced dependence on manual status gathering and desktop-only dashboards.
- Demonstrated how AI-assisted development could accelerate a production-grade internal product from concept to App Store approval.
- Established reusable patterns for secure authentication, telemetry display, configurable cards, feature-flagged rollout, and production observability.
What I'd Build Next
- A proactive AI agent (via Model Context Protocol) that surfaces insight automatically, not just on request
- Explainable anomaly and risk detection
- Recommended follow-up workflows
- Delegation and ownership tracking
- Drill-down to source data
Why This Matters
Executives don't need more dashboards — they need a fast, trusted signal they can check from anywhere. Pulse is what that looks like when product thinking, UX, and hands-on engineering come from the same person.