Locate the organisation
Search a customer portfolio and identify the account to work on, even when domains and names look similar.
Designing a clear route from a partner’s customer portfolio to the right organisation, tools and next action in Snow Atlas.
Snow Atlas spans customer accounts and several product areas. A partner working across organisations needs a reliable way to find the right customer, manage the relationship and enter the appropriate environment.
The design problem is a shift of scope: from a portfolio of customers to the data and tools of one organisation. Every action depends on that boundary being clear.
Search a customer portfolio and identify the account to work on, even when domains and names look similar.
See customer information and the people assigned to that relationship before making a change.
Move into Snow Atlas with a clear indication of whose environment and data are in view.
The supplied screens include partner application concepts, customer-environment screens and broader analytics explorations. They illustrate the proposed experience; production status and measured outcomes are not established by the material.
The main journey connects the partner’s overview with a selected customer and the products available to that organisation.
Start in a shared list of customer domains.
Check details and assigned managers.
Switch to the customer’s Snow Atlas context.
Continue into the relevant SAM, SaaS or Containers area.
The screens explore how partner tasks and customer tasks can remain connected without losing the organisation in view.
The customer panel opens over the portfolio, allowing a partner to inspect the domain and assigned managers without leaving the list. The list remains a reference point for the task.
The access bar names the selected customer domain above the Snow Atlas interface. The partner can move back to the partner application through the same navigation pattern.
The package builder brings operating system, version, specifications and status together in a searchable table. Partners can recognise available, in-progress, outdated and failed builds.
Additional mockups explore an overview of users, contracts, licences and potential optimisation across accounts. They point toward a partner view that helps prioritise attention across the portfolio.
These are concept screens. The example values in the mockups are illustrative. A usable savings estimate would need its timeframe, data source, calculation and an action leading to the affected records.
The work included a Figma prototype for usability testing. The available material does not document participant counts, task results or a verified post-launch effect, so the questions below describe what this experience still needs to establish.
Workshop and journey material, information architecture exploration, wireframes, interface concepts and a prototype used for testing. The source page also mentions a presentation of test performance and proposed refinements.
Which partner tasks were tested, what participants struggled with, which design changes followed and whether the revised flow was tested again.
Can a partner find and distinguish the intended organisation in a large customer list?
Can they tell whether they are in the partner application or a customer environment before taking an action?
Can they identify why a build failed or became outdated and find a useful next step?
Can they explain how a proposed saving was estimated and locate the users or licences behind it?
The partner layer brings relationship management, access and product workflows into one connected experience. The strongest design question is whether a user can move between those layers without losing track of responsibility or context.
Research and discovery, low- and high-fidelity design. The wider work included workshops, information architecture exploration and a prototype for usability testing, prepared with a researcher and the design team.
Make the customer switcher consistent, separate account actions by consequence, give package errors a recovery path and connect each optimisation estimate to its underlying data and next action.