Zenda LLC
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Zenda Platform

Zenda LLC

Designing AI Signals for Enterprise Operations

Designed a signal-based intelligence platform that helped enterprise teams uncover hidden process inefficiencies, cost anomalies, and workflow drift. By turning complex operational data into explainable insights, the system enabled faster, more confident decisions without replacing human judgment.

Role Senior Product Designer
Timeline Q3 2025
Impact 62% adoption across enterprise teams

Overview

Zenda is a B2B enterprise platform that helps organizations understand how work actually gets done inside complex operations — not just how it is documented. The platform breaks work down into events, activities, and resources (people, tools, data, policies), making it possible to compare what a process is supposed to look like with how it is really executed on the ground. In this project, I designed a signal-based system that helps process owners quickly spot hidden cost issues and misalignments, turning complex operational data into clear, trustworthy signals while keeping decision-making firmly in human hands.

Design Process

  1. Gather Requirements
  2. Help Define Scope
  3. Desk Research
  4. Define Look & Feel
  5. High Fidelity Mockups
  6. Review & Iterate

Problem Statement

Process owners and operational leaders were responsible for managing complex, evolving processes, but lacked timely and reliable ways to understand how those processes were behaving day to day.

Key Question

How might we help process owners recognize what matters most within complex workflows, without overwhelming them or breaking the visual integrity of the system?

Users

Two primary roles used the platform with distinct goals and pain points.

01 — Process Owner (Builder / Creator)

Goals

  • Build accurate process flows that reflect real-world operations
  • Continuously improve efficiency and compliance
  • Keep workflows updated as teams evolve

Needs

  • Easy-to-edit process models
  • Visibility into workflow changes and deviations
  • Confidence that data accurately maps to processes

Motivations

  • Creating operational clarity across teams
  • Reducing inefficiencies through better systems
  • Ensuring processes scale effectively

Pain Points

  • Outdated or inaccurate process documentation
  • Difficulty tracking hidden workflow changes
  • Manual effort required to maintain process accuracy

02 — Operations Leader / Manager (Reader / Decision-Maker)

Goals

  • Monitor operational performance across teams
  • Identify issues quickly and prioritize action
  • Improve efficiency, cost, and output metrics

Needs

  • High-level dashboards with actionable insights
  • Clear signals on anomalies and risks
  • Fast access to decision-ready data

Motivations

  • Driving measurable business outcomes
  • Making faster, smarter operational decisions
  • Increasing team accountability and performance

Pain Points

  • Limited visibility into day-to-day operations
  • Too much data but little clarity on priorities
  • Delayed decisions due to manual reporting and audits

Scope

Automation Potential

Steps that were highly manual, repetitive, or rule-based — strong candidates for automation.

Cost Outliers

Activities or variants that disproportionately drove operational cost or rework within the process.

Process Mismatches

Breakdowns between expected and actual process flows — including skipped steps, loops, or misaligned handoffs.

Key Insight

We needed a system of signalling to cut through operational noise and guide process owners toward what truly needed their attention. This system of signalling would also help if in case there are any future alerts needed.

Researching Existing Systems

I conducted extensive research to understand different signalling systems in the real world. I decoded what information they were trying to communicate through each pattern, color, or shape selected. Exploration included various systems like Heraldry, Nautical Flags, Japanese Mon, and more.

Signal research reference 1 Signal research reference 2

Design Decisions

Through desk research, I identified several recurring design principles used across different signalling systems. Based on these common patterns and similarities, I derived the core role signals should play within the product experience.

  • Noticeable, not noisy — Signals appeared only when meaningful thresholds or anomalies were detected, ensuring attention was drawn to exceptions rather than normal behavior.
  • Simple by default — Signals used minimal visual attributes (single color and simple iconography) so they could be understood at a glance.
  • One signal, one meaning — Each signal mapped to a single underlying condition, avoiding overloaded or compound indicators.
  • Human-in-the-loop — Signals surfaced insights without prescribing actions, allowing users to explore context and make informed decisions.
  • Scalable by design — Signals were implemented as a consistent overlay on the process map, enabling new signals to scale without altering the core layout.
Design principles derived from real-world signal systems

Various Zoom Heights

After deciding on different types of signals and how should they look and feel, I decided on making different versions of how would they look in different zoom heights and in different modes.

Signal nodes at various zoom heights and modes

Corresponding Side Panel

Each signal node opens a side panel with contextual detail. Color plays a key role in distinguishing signal types at a glance.

Corresponding side panel — Smart Signals and Operational Drift

Final Design Assets

Here is a snippet of certain new components that were designed, keeping in mind different modes and the internal design library at Zenda.

Final design assets — component set 1 Final design assets — component set 2

Final Design

The final signal system was built as a consistent overlay on the process map, with two distinct signal types — smart signals and operational drift — each with their own visual language and side panel experience.

Impact

30% Faster issue identification rate for users after shipping the signaling system.
  • Shipped a net-new signaling system from concept to production in approximately 6 sprints.
  • The feature was later highlighted on the Zenda website, reflecting its strategic importance to the product offering.
  • Became a key differentiator in sales demos, helping simplify complex process insights.
  • The signaling framework established a reusable pattern that enabled future insights to be added without redesigning the core experience.
  • Achieved 62% adoption across enterprise teams within the first quarter of release.
Impact