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Case Study

NexaFlowAnalytics Platform

We redesigned the analytics experience to help product teams understand user behavior faster, reduce reporting complexity, and increase decision-making confidence.

Jan – Aug 2024
Meridian Capital Group
8 months
app.nexaflow.io/dashboard
NexaFlow Analytics Platform
2,400Active users
94%Faster reports
94%User Satisfaction
2,400+Active Users
$2.1MRevenue Tracked
4.9Average Rating
Aperçu du projet

The problem worth solving

Fragmented Data

Teams were switching between multiple tools to gather insights.

Slow Reporting

Generating reports took hours and delayed decision making.

Low Visibility

Executives lacked a clear overview of business performance.

Poor Collaboration

Departments worked in silos with inconsistent metrics.

Mon rôle

What I owned end-to-end

CALENDRIER

Jan 2025 - Aug 2026

TAILLE DE L'ÉQUIPE

7 People

MON TITRE

Lead Product Designer

CLIENT

Merdiaian Group

Research

  • User interviews
  • Competitor analysis
  • Stakeholder workshops
  • Analytics audit

Design

  • User flows
  • Wireframes
  • Design system
  • Interactive prototypes
Processus

Comment nous y sommes arrivés

Un sprint de 8 mois entre découverte, conception et livraison - avec une contrainte forte : la première version devait remplacer Excel dès le premier jour, pas progressivement.

Semaine 1

Discovery

Interviewed 20 customers and mapped pain points across reporting workflows.

Semaine 2

Research

Analyzed competitor products and identified opportunities for simplification.

Semaine 3

Wireframing

Created low-fidelity concepts to validate dashboard structure.

Semaine 4

Design

Built a scalable design system and high-fidelity interfaces.

Semaine 5

Launch

Released the platform to beta users and gathered performance insights.

Recherche UX

Ce avec quoi les utilisateurs peinaient réellement

Sarah Johnson

Sarah Johnson

Product Manager

“Finding meaningful insights used to take hours. Now it takes minutes.”
Michael Chen

Michael Chen

Founder

“The dashboard became our single source of truth.”

Principales conclusions de la recherche

01

Most users preferred consolidated reporting experiences.

02

Over 60% of executives reviewed reports from mobile devices.

03

Teams wanted flexible filtering and export capabilities.

Système de design

Conçu pour la confiance et la rapidité

Palette de couleurs

#84CC16Primary
#111827Secondary
#22C55EAccent
#F8FAFCBackground

Échelle typographique

Display32px · 800 · -0.03em
Heading20px · 700 · -0.02em
Body medium15px · 500
Caption13px · 400 · muted
EYEBROW11px · 600 · +0.12em

Exemples de composants

ActiveAlert
Search reports...
Galerie

Le produit en détail

Overview Dashboard
Revenue Tracking
User Insights
Reports
Sample Image
Fonctionnalités clés

Ce qui le rend différent

Real-Time Analytics

Monitor customer activity as it happens.

Enterprise Security

SOC2 compliant infrastructure and role-based access.

Fast Performance

Dashboard loads in under 1 second.

Custom Dashboards

Build tailored reporting experiences.

Résultats et impact

Les chiffres après six mois en production

94%

Increase in Reporting Efficiency

$2.1M

Revenue Tracked

68%

Support Tickets Reduced

4.9/5

Customer Satisfaction

User Adoption after 8 Week

78%

Based on 1200 Users

Témoignages

Ce que l'équipe en a dit

Nostrum aut elit qu
QP

Qui provident id a

Non molestias eos ut · Sit autem assumenda

“Ipsam consequuntur c”
EQ

Et quidem expedita p

Laborum Elit et eu · Voluptas dolorem cor

“Vero quam eius et do”
QE

Qui eveniet ea in i

Non vitae suscipit q · Excepturi excepteur

Technologie

Avec quoi il a été construit

Frontend

Next.jsTypeScript

Database

MongoDB

Backend

Node.js

UI

Tailwind CSS

Infrastructure

AWS
Réflexions

Défis et enseignements

Défis

1

Large Data Volumes

Millions of records required optimized aggregation pipelines.

2

Dashboard Performance

Charts needed to load instantly across devices.

Enseignements

1

Simplicity Wins

Reducing complexity improved user adoption significantly.

2

Research First

User interviews prevented unnecessary feature development.