Person
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Person
Person
Person

Resolving the Outliers

Overview:

Designing a centralised pricing experience within the NAV lifecycle to cut exception resolution time by ~60% and shift vendor and client communication into a single, auditable workspace.

UX/UI · Service Design · Usability Testing

Role:

Lead Designer

Team:

Product Lead, Business Analyst, Development, Fund Accountant SMEs.

Before we begin

To comply with my non-disclosure agreement, I have omitted and modified confidential information in this case study.

Project Overview

Every day, investment funds must publish a single number to the market. Behind that number is an operational process built on precision, tight deadlines and trust. When a security price falls outside acceptable tolerance, operations teams must investigate, validate and resolve the issue - before the NAV can be published.


As the sole designer, I led end-to-end design of a new pricing experience within a broader NAV oversight platform - working with product managers, engineers and operational SMEs. What started as a scoped visual migration became something far more significant: a chance to reshape how pricing operations actually work.


Outcomes

A NAV is the single number a fund reports to the market each day. Pricing is the stage that decides whether that number is trustworthy. When a security's price falls outside tolerance, someone has to investigate it, justify a decision and move on - fast enough that the NAV still goes out on time.


In the legacy world, the people responsible for pricing operate across fragmented legacy systems, offline spreadsheets and email chains, with no single source of truth for what's been priced, what's in breach and what's still outstanding.



The brief from the business was deceptively simple: "Bring pricing into the new platform". Once I spoke to users, the brief became slightly different: "Stop making me leave my workflow to do my job". While it was initially viewed as a visual refresh, it quickly became a chance to question the shape of the work itself.

~60%

Reduction in exception resolution time

Based on workflow analysis and user estimation

Communication consolidated

Single auditable workflow replacing email chains

Pricing lifecycle visibility

Real-time SLA and breach concentration tracking

Duplicated effort remove

Shared investigative context across preparers and reviewers

Legacy tooling dependency eliminated

Centralised workspace replaced 5–7 disconnected systems

The Problem

Pricing Wasn't Broken. The Workflow Around It Was.


The brief was deceptively simple: "Bring pricing into the new platform". After speaking with users, the real problem became clear: "Stop making me leave my workflow to do my job."


Most prices passed automated checks without issue. The bottleneck lived entirely in exceptions - prices that failed validation and demanded investigation under strict daily deadlines. Every disconnected system introduced friction. Every interruption introduced risk.



This wasn't a usability issue in isolation. Unresolved exceptions threatened:

NAV publication delays

Missed deadlines with direct client and regulatory impact

Audit and compliance risk

Decision reasoning lost outside the system, in email

Operational trust

Duplicated effort and late visibility eroded team confidence

Research & Discovery

Understanding Where the Workflow Actually Broke

To find where friction truly existed, I conducted contextual interviews with NAV Preparers, NAV Reviewers and Market Data Analysts, shadowed legacy tooling in use, and analysed pricing files, challenge emails, audit logs and exception reports alongside collaborative sessions with operational SMEs.

Rather than cataloguing interface issues, the research focused on how decisions were made, where trust broke down, how teams prioritised under pressure and where delays accumulated.

Legacy Tooling;

What Was Broken?

To find where friction truly existed, I conducted contextual interviews with NAV Preparers, NAV Reviewers and Market Data Analysts, shadowed legacy tooling in use, and analysed pricing files, challenge emails, audit logs and exception reports alongside collaborative sessions with operational SMEs.

Rather than cataloguing interface issues, the research focused on how decisions were made, where trust broke down, how teams prioritised under pressure and where delays accumulated.


⚠️

Fragmentation across systems

Preparers regularly moved between various systems to resolve a single out-of-tolerance price: a pricing system → vendor terminals → internal monitoring tools → Excel trackers → email threads → shared drives → historical references. Users developed personal triage rituals to compensate. Excel became the unofficial operating system.

📉

The legacy system punished curiosity

Investigating a flagged price meant leaving the current screen, opening another system, searching for the security, cross-referencing sources, returning to the workflow, rebuilding context and then making a decision. The cost of a single investigation became high enough that users developed shortcuts. In fund administration, shortcuts become risk.

📧

Communication lived outside the system

Vendor challenges, client conversations and reviewer reasoning happened almost entirely through email. The platform recorded outcomes - but not the decision-making behind them. Reconstructing the rationale for a pricing decision weeks or months later was difficult and unreliable.

🔄

Duplication of effort across roles

This was the single largest source of wasted time. A preparer would fully research a pricing issue and document their conclusions externally. The reviewer would then repeat the same investigation from scratch - because none of that reasoning existed inside the workflow.

🔍

Limited real-time visibility

Teams had no real-time view into breach concentration, ageing exceptions, SLA risk or outstanding approvals. Problems surfaced only once deadlines were already under threat.

The Personas:

Similar to my other case study, the pricing process follows a maker-checker model - NAV preparers investigate and propose, NAV reviewers provide oversight and approvals.

The Personas:

Similar to my other case study, the pricing process follows a maker-checker model - NAV preparers investigate and propose, NAV reviewers provide oversight and approvals.

Framing The Opportunity

Users didn't need another pricing screen. They needed operational continuity.

Before

Fragmented. Manual. Hard to trust.

5–7 systems to resolve a single exception

Reasoning lived in email threads

Duplicated investigation from scratch

No shared visibility of breach concentration

After

Connected. Continuous. Trustworthy.

Single workspace from investigation to resolution

Decisions embedded in-system

Shared context across all stakeholders

Real-time pricing readiness and SLA visibility

Exception first, not data first.

Surface what requires attention - not what already passed.

Keep users in flow.

Users should never need to leave the workflow to investigate or resolve.

Decisions should persist.

Reasoning stays attached to the exception - not lost in external tools.

Design Process

Journey Mapping

We decided to drill into one specific use case, which focused on an out of tolerance price. This process was focused around the NAV Preparer, with escalations and input to the NAV Reviewer and Market Data Analyst. Maps based on legacy systems exposed repeated investigation loops, excessive context switching, communication gaps, approval bottlenecks and visibility failures. Future-state journey maps were then created aligned to the new platform and workflow engine.

Low Fidelity Exploration

Early wireframes focused heavily on information hierarchy, exception triage flows, table interaction patterns, investigation continuity and multi-role operational states. Because the workflow was data-dense and operationally critical, structure mattered more than visual polish at this stage.

💡

The goal wasn't to create screens. It was to create flow efficiency.

Continuous Collaborative Validation

Rather than treating testing as a formal end-stage activity, design evolved through iterative working sessions with SMEs, operations users, product managers, engineers and stakeholders. We validated workflow assumptions, terminology, prioritisation logic, exception handling behaviour and escalation states directly within those sessions - significantly reducing downstream rework.

Polishing the Pixels

With the core workflows validated, the focus shifted into high-fidelity design - refining the product into something that behaved like real operational platform, not a static concept.


Key High Fidelity Enhancements:

  • Configurable monitoring dashboard with drag-and-drop widget arrangement, ageing chips and lifecycle-wide visibility.

  • Status badges and breach indicators for instant visual assessment of an exception's state.

  • Alternative pricing tables with pre-calculated price differences, market value impact and one-click "Adopt as Primary".

  • Restrained use of alert colour - warning highlighting reserved exclusively for breach rows so the signal lands.

  • Side-out detail panel carrying security identifiers, history, files and comments without losing the user's place in the table.

Decisions Behind the Design

Every experience, flow and structural choice should directly serve a purpose. The below design decisions were evaluated against core criteria: solving a friction point for the user or driving a measurable business outcome; whether it is reducing investigation time, strengthening audit trails or minimising friction between users. Rather than settling for a visual refresh, the pricing experience replaces a deeply embedded legacy process with a sustainable, long-term solution."

Surfacing decision-making data.

Pain points

Disconnected tools with manual cross-referencing. No reasoning happened inside the tool, but historically happened via email threads.

Decision

Centralised resolutions, with a final verdict being surfaced to the top of the screen for NAV Reviewers to quickly make an informed decision.

Why?

By simply bringing the information required to make a decision removes the need to leave the workflow and dramatically cuts the time to resolve a flagged price.

Contextualizing Real-Time Alerts.


Pain points

Communication lived outside the system, limited real-time visibility, and duplication of effort.

Decision

The dashboard and pricing experience surface what's slipping, not what's already done. As an exception-first dashboard, we introduced clear and effective notifications, giving immediate insight into the context.

Why?

In practice, users don't need to look at every priced security, they need to know which ones broke. Foregrounding exceptions, ageing and SLA risk shifts the experience from reactive to proactive.

Centralizing Investigation & Audit Context


Pain points

Cross-system dependencies, limited real-time visibility and duplication of effort. Users had to open another system, search and rebuild context before returning to the existing screen to make a decision.

Decision

Rather than creating a full page takeover, each exception or price has an associated side drawer which centers the relevant context for the user.

Why?

Bringing pricing details, historical actions and cross-team communication directly alongside the working view eliminates the need for context switching. Users can instantly trace past decisions and attached evidence without duplicating research or interrupting their primary task. To prevent visual overload, filtering functionality was introduced to streamline their search.

The same shared experience, displayed differently.


Pain points

Slow comprehension, duplication of effort and lack of workflow context.

Decision

Surface the same underlying data through distinct, role-tailored interfaces for Preparers and Reviewers. Intentionally adapting the presentation to each role’s specific job-to-be-done accelerates output and reduces operational risk.

Why?

Preparers and Reviewers interact with the same underlying data, but they evaluate it for entirely different outcomes. Preparers require dense, comparative metrics and highlighted breaches to investigate root causes and make initial decisions. Reviewers, by contrast, need immediate visibility into the Preparer’s reasoning, audit trails, and attached evidence to confidently sign off.

*Move the slider

Customizable, Scalable Cards


Pain points

Limited real-time visibility, rigid views and static dashboards that fail to adapt to varying operational priorities across teams.

Decision

Built a modular card framework that allows users to customize their dashboard layout while establishing an extensible architecture for future data components.

Why?

Operational focus shifts throughout the month - a team monitoring exceptions needs fundamentally different visibility than someone resolving trade bottlenecks. Providing customizable module cards gives users control to prioritize the metrics that matter most to their tasks. Crucially, structuring this interface around a modular system creates a scalable design foundation, allowing new data components to be seamlessly introduced as platform capabilities grow without breaking the dashboard experience.

Measuring the Impact

The platform is currently in development. The metrics below are projected targets, grounded in legacy benchmarks, time observations from research and conservative modelling. They form the success criteria we'll measure against post-launch.


Streamlined Exception Triage

The redesigned pricing experience is projected to deliver a ~60% reduction in time to resolve an out-of-tolerance exception, driven by single-screen investigation, one-click source adoption and large shift in vendor and client communication from email into the platform.

Even at first glance, you can tell where the work is. Everything I'd normally have to dig for is right there on the screen.

Defensible Audit Trails & Compliance Coverage

Designing role-specific views for preparers and reviewers reduces handoff friction. Reviewers gain immediate visibility into underlying calculations and preparer rationale, enabling confident sign-offs without requiring secondary investigation or status check-ins.

The reviewer screen is the bit I love. I don't have to ask anyone what they were thinking — it's all sitting there.

Reduced Friction Through Transparency & Traceability

The platform is expected to deliver a notable reduction in reviewer rework and lift auditable decision coverage by capturing every comment, challenge and file attachment against the security itself, removing reliance on email and side-channel notes.

Right now, half my audit prep is hunting through inboxes. If the conversation lives next to the price, that problem just disappears

A Step Change in the Pricing Experience

When compared to the legacy pricing tools, participants described the proposed experience as a meaningful shift — particularly in how breaches, ageing and upstream context are surfaced. The experience moves pricing from reactive and fragmented to proactive, transparent and defensible.

Today I'd have four tabs open to do what this screen does in one. That's the difference.

Key Takeaways & Reflection

Designing for high-risk workflows is a practice in radical simplification & operational clarity.


Modernizing a compliance-heavy pricing workflow meant peeling back years of entrenched habits, unofficial workarounds, and fragmented tools. Working alongside operational SMEs, preparers, and reviewers provided firsthand visibility into where friction accumulated and where systemic risk was being introduced.


Trust is the primary utility: In complex financial operations, usability isn't measured by visual flair and how good a dashboard looks - it's measured by confidence. Designing transparent audit paths and explicit data validation states will directly reduce user hesitation during critical decision points.


Domain immersion yields sharper trade-offs: Deep-diving into everyday pricing rituals made it easier to challenge assumptions, weigh trade-offs and defend design decisions rooted in operational reality rather than aesthetic preference.


Platforms evolve through implementation: Transitioning designs into active development constantly surfaces new edge cases and nuanced user needs. Treating the platform as an evolving ecosystem ensures the UI stays adaptable as business requirements grow.


What would I do slightly different next time?

In financial operations, the happy path is rare. While routine exceptions are easily automated, high-risk edge cases are where the real operational friction lives. Elevating edge cases into early concepting rather than treating them as secondary states would result in a far more resilient platform architecture.


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Currently located in Toronto
Gone for a coffee, feel free to reach out.
Currently located in Toronto
Gone for a coffee, feel free to reach out.