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Banner: Navigation Consolidation, One IA for 4 SaaS Products
WIP Case Study

Navigation Consolidation: One IA for 4 SaaS Products

Consolidated fragmented navigation across 4 products into a single nested schema built to scale past 20+ product areas, to be validated through tree testing before rollout.

Summary

Problem Post-merger, leadership wanted to 'platformize' the product suite, with no shared definition of what that meant or how to execute it
Goal Reframe platformization into a validated, scoped problem, then design its navigation and IA half
Outcome Designed and delivered a consolidated nested navigation schema, to be validated via tree testing with internal recruiters before rollout
Role Project lead; reframed and scoped the initiative, aligned with the ex-COO (Talentry's founder) and VP of Product
Timeframe Dec 2025 - Jan 2026 (Design phase)
Screenshot of the navigation bar, showing 2 states: collapsed by default, and expanded on demand

Navigation bar, collapsed by default, expands on demand

The Ask

CleverConnect and Talentry had merged years earlier, but the products still didn’t operate like one platform.

Talentry
CRM
Talentry
Referrals
CleverConnect
CMS
CleverConnect
Qualify New

4 products from different roots, 20+ product areas, 2-3 personas. Leadership’s ask was directionally right, but light on specifics.

The Original Ask

'We need to platformize.'

No shared definition of what “platformization” meant, or how to execute it.

Reframing the Problem

Around the same time, a separate initiative was underway to grow revenue through cross-sell and upsell across the 4 products.

I connected the two: platformization was also the means to advertise the offering and unlock that cross-sell (aligned with the ex-COO (Talentry’s founder), and later, our VP of Product).

The data backed it up: about three quarters of customers used only 1 of the 4 products, and just a quarter had adopted 2+.

  • 73% Use only 1 product
  • 27% Have adopted 2+ products

Almost no one was using the platform as a platform.

Two blockers within design’s control:

Didn't Feel Like One Platform

Each product had its own branding and UI patterns instead of one consistent look-and-feel.

Business Impact:

Undermines the sense that this is one connected product, not four bolted together

Discoverability

Customers using one product had no way to see the others.

Opportunity:

Use nav as a natural place to test demand, a click on a locked area is a real signal.

Scoping the Work

With the problem validated, I scoped platformization into two workstreams:

Visual System

Unifying how products look and feel. Tackled separately, in an ongoing initiative.

Navigation & IA

Unifying how products connect and are discovered. The focus of this case study.

The visual system half is covered in One Design System for Every Stack. This case study covers the navigation and IA half.

Recap: The Navigation Problem

Customers switching between products had to relearn the interface every time.

Screenshot of Talentry's original navigation for its CRM and Referrals tools

Talentry’s original navigation (CRM / Referrals)

Screenshot of CleverConnect's original navigation for its CMS tool

CleverConnect’s original navigation (CMS)

Talentry (CRM and Referrals) nav became the platform’s core. Qualify, being the newest product, was integrated deeply into this nav system.

CMS, on the other hand, is just a link appended to the core nav that opens CMS in a new tab, a cheap intermediate fix never meant to be permanent.

Annotated screenshot of the flat CleverConnect sidebar, marked where the list overflows past the fold

The flat sidebar, annotated where the list runs long enough to overflow past the fold

As new items were added to the list, it started overflowing vertically on standard laptop screen sizes. As a quick workaround, we moved settings and help into a shell menu in the top right to claw back vertical space.

We needed a structure that could accommodate cross-sell, upsell, and future product growth, while bringing the platform’s products closer together in UX.

Strategic Trade-offs

Flat was already breaking → nested became the next logical step.

That still left one real decision: group by use case vs. by product, each dictates its own layout.

By Use Case / Dropdown ✓By Product / Double Vertical
MirrorsActual user workflowLegacy product division
FamiliarityMatches industry-standard mental models, but reshuffles where legacy power users expect things, to be validated via tree testingFamiliar to existing single-product users, doesn’t scale to new customers
Cross-sellUpsells surface inside the workflow they’d add value to, relevant to what the user is actively doingOnly surfaces generic other-product ads, disconnected from the user’s workflow, weaker on buying intent
Overlapping featuresOne home per capability, no matter which product built itThe same capability may be in more than one place, unclear if duplicate or different tool
Screen real estateOne collapsible railTwo columns, tight on 13-14” laptops
Comparison of by-use-case grouping with a single nav dropdown (chosen) vs. by-product grouping with a double vertical nav (rejected)

By Use Case + Dropdown (chosen) vs. By Product + Double Vertical (rejected)

The known risk with a nested approach, regardless of IA, is discoverability: what used to be 1 click can now cost 2. We offset that two ways:

Spotlight Search

Surfaces any feature instantly, regardless of where it's nested.

Breadcrumbs

Let users jump laterally within their active workflow without backtracking through the rail.

Design Direction

Discoverability

Top-level search + breadcrumbs so nothing gets buried

Consistency

One shared recruiter experience across 4 products

Role-relevance

Sections named using industry-standard use cases

Design Solution

The nav collapses to an icon rail by default, expanding to show section names on demand.

Screenshot of the navigation bar, showing 2 states: collapsed by default, and expanded on demand

Collapsed by default, expands on demand

Branded diagram of the final information architecture, showing 8 top-level sections and their nested modules

The final IA: 8 top-level sections, each grouping 2-3 related modules

Clicking search opens a Spotlight-style overlay, suggesting modules by recency of use, plus a fake-door artifact-search button to gauge interest before investing further.

Screenshot of the search dropdown open, with the fake-door artifact-search button annotated 'not yet built, testing demand'

Search dropdown, sorted by recency of use. The artifact-search button is a fake-door test.

At the second level, breadcrumbs let users jump between sibling and parent sections without backtracking through the rail.

Screenshot of the breadcrumb trail shown at the second level of the IA

The breadcrumb trail, shown at the second level of the IA

Locked modules carry an upgrade badge and stay clickable, opening a full-screen upsell instead of a dead empty state.

Each click also doubles as a demand signal, and a test of the underlying hypothesis: if discoverability was the blocker, surfacing locked modules should generate clicks; if customers simply don’t want the other products, clicks won’t come.

Screenshot of a locked module showing an upgrade badge, still clickable

Locked module, badged and clickable. Click opens a full-screen upsell

Validation (Planned)

Tree testing is planned with internal recruiters (domain-representative users who work in recruiting daily but don’t know the platform’s structure) to check whether use-case sections are findable before customer-facing rollout.

Success bar: every section must be findable by testers without help; any repeated miss triggers a rename or regroup before rollout.

Status

Rollout Pending Prioritization

Tree testing and IA iteration are queued alongside engineering rollout, pending prioritization against other platform work.

Next Steps

Validate

Run tree testing and iterate on the IA based on findings.

Scope

Engineering scoping.

Roll Out

Prioritize a phased rollout across nav, breadcrumb, and search.

Team & Stakeholders

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