SAAS DASHBOARD
2025 · CONCEPT

/ANALYTICS

A modular analytics dashboard concept for B2B SaaS. Designed with progressive disclosure principles and a flexible component system that scales from single-metric widgets to multi-panel reports.

CLIENT /
Concept project
ROLE /
Lead Designer
TIMELINE /
6 weeks
TOOLS /
Figma · FigJam · Notion
Analytics Platform UI — Concept hero
[01] Overview

Project at
a glance.

Component library Progressive disclosure Data viz Design tokens

B2B analytics dashboards rarely scale gracefully. This concept project tackled the dense-data problem from the component level up, building a system flexible enough to fit single-metric widgets or full multi-panel reports without breaking layout or hierarchy.

Components
8 base
Variants
12 dashboards
Setup time
-40%
02 THE PROBLEM

B2B ANALYTICS DASHBOARDS GET DENSE FAST.

Most analytics platforms throw every chart on screen at once. Users get overwhelmed in 30 seconds. The concept brief: a dashboard that scales from a single metric to a full report without losing clarity.

[03] Research

How I got
to the answer.

A mix of methods, scaled to the size of the project. The goal: get to the underlying user need without overengineering the research phase.

METHOD 01

Competitive analysis

Reviewed 12 leading analytics platforms (Mixpanel, Amplitude, Heap, Pendo) to map standard patterns and identify friction points.

METHOD 02

Heuristic evaluation

Audited 6 internal SaaS dashboards against Nielsen's usability heuristics to identify recurring issues across data-heavy interfaces.

METHOD 03

Component audit

Cataloged the 40+ widget types across the platforms reviewed and clustered them into 8 foundational patterns.

METHOD 04

Pattern synthesis

Distilled findings into 3 design principles: progressive disclosure, modular composition, and consistent data hierarchy.

Key insights

What the research surfaced — distilled to the three things that drove every design decision after.

01
Density isn't the problem — uncontrolled density is. Users want a lot of data, but only when they ask for it.
02
Most dashboards force a single grid system. Real reports need both summary cards AND deep data tables, often side by side.
03
Component flexibility matters more than visual polish. PMs need to assemble dashboards without a designer's help.
04 APPROACH

MODULAR COMPONENTS WITH PROGRESSIVE DISCLOSURE.

A component library where every widget can scale from compact to expanded. Defaults to the simplest view, expands on user intent. Chart styles, data treatments, and callouts share the same visual language across sizes.

Approach visual
Supporting visual
[05] Design Process

Four phases,
one outcome.

The same process on every project, scaled to the size of the brief. Predictable enough to plan against, flexible enough to fit the work.

PHASE 01

Discover

Competitive analysis, pattern mapping across 12 platforms.

PHASE 02

Define

8 base widget types, 3 layout principles, design token system.

PHASE 03

Design

Figma component library with variants for each size and state.

PHASE 04

Validate

Assembled 12 dashboard variants from the 8 base widgets to test flexibility.

Process detail
Process detail
06 OUTCOME

12 DASHBOARD VARIANTS, ONE SYSTEM.

The component library produced 12 different dashboard variants from the same 8 base widgets. A workflow that previously required custom design per dashboard could now be assembled by PMs in Figma. Setup time estimated to drop 40% based on pattern coverage.

Final outcome
[07] Reflection

The biggest lesson: component systems beat custom design for data-heavy products. The first dashboard is harder. The 12th is easy. The 50th is automatic.

Sushmanth · 2025 · CONCEPT
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