Overview

Overview

Overview

Insight is a web-based analytics dashboard designed for DataClever to help e-commerce teams monitor competitive pricing, benchmark products, and understand market sentiment in one centralized view.


The platform translates complex data into clear, actionable insights, allowing users to quickly evaluate their product’s position in the market and make informed pricing and strategy decisions with confidence.


My role focused on defining the dashboard structure, designing the user experience, and crafting a clear, scalable visual system that supports

data-heavy analysis without overwhelming the user.

Insight is a web-based analytics dashboard designed for DataClever to help e-commerce teams monitor competitive pricing, benchmark products, and understand market sentiment in one centralized view.


The platform translates complex data into clear, actionable insights, allowing users to quickly evaluate their product’s position in the market and make informed pricing and strategy decisions with confidence.


My role focused on defining the dashboard structure, designing the user experience, and crafting a clear, scalable visual system that supports

data-heavy analysis without overwhelming the user.

Insight is a web-based analytics dashboard designed for DataClever to help e-commerce teams monitor competitive pricing, benchmark products, and understand market sentiment in one centralized view.


The platform translates complex data into clear, actionable insights, allowing users to quickly evaluate their product’s position in the market and make informed pricing and strategy decisions with confidence.


My role focused on defining the dashboard structure, designing the user experience, and crafting a clear, scalable visual system that supports

data-heavy analysis without overwhelming the user.

AI-Driven Goals for peak project performance

AI-Driven Goals for peak project performance

AI-Driven Goals for peak project performance

Project goals

Project goals

Project goals

Price Volatility

Price Volatility

Price Volatility

Market position score

Market position score

Market position score

Categories

Categories

Categories

Price index vs competitors

Price index vs competitors

Price index vs competitors

Sentiment Trend

Sentiment Trend

Sentiment Trend

Overview

Overview

Overview

To design an effective competitive analysis dashboard, I first defined the primary user and their goals, challenges, and decision-making context.

To design an effective competitive analysis dashboard, I first defined the primary user and their goals, challenges, and decision-making context.

To design an effective competitive analysis dashboard, I first defined the primary user and their goals, challenges, and decision-making context.

User

User

User

Rejected Concepts

Rejected Concepts

Rejected Concepts

I explored multiple visual directions before arriving at the final solution. While early concepts helped validate brand tone and usability patterns, they revealed critical limitations around data legibility, task focus, and analytical clarity. These insights directly informed the final design decisions.

I explored multiple visual directions before arriving at the final solution. While early concepts helped validate brand tone and usability patterns, they revealed critical limitations around data legibility, task focus, and analytical clarity. These insights directly informed the final design decisions.

I explored multiple visual directions before arriving at the final solution. While early concepts helped validate brand tone and usability patterns, they revealed critical limitations around data legibility, task focus, and analytical clarity. These insights directly informed the final design decisions.

SOME EXAMPLES

SOME EXAMPLES

SOME EXAMPLES

Design Exploration

Design Exploration

Design Exploration

Typography

Typography

Typography

Design Process

Design Process

Design Process

Metrics Cards

Visual Design

I designed the visual system with a strong focus on readability and focus. Neutral backgrounds, clear typography, and a controlled use of color were used to highlight trends, changes, and alerts while maintaining a professional, data-driven aesthetic.

Metrics Cards

Visual Design

I designed the visual system with a strong focus on readability and focus. Neutral backgrounds, clear typography, and a controlled use of color were used to highlight trends, changes, and alerts while maintaining a professional, data-driven aesthetic.

Metrics Cards

Visual Design

I designed the visual system with a strong focus on readability and focus. Neutral backgrounds, clear typography, and a controlled use of color were used to highlight trends, changes, and alerts while maintaining a professional, data-driven aesthetic.

Interaction & Refinement

Interaction & Refinement

Interaction & Refinement

I introduced subtle interactions and transitions to guide users when filtering, comparing, and exploring data. Continuous refinement ensured consistency across components and a scalable system aligned with usability best practices.

I introduced subtle interactions and transitions to guide users when filtering, comparing, and exploring data. Continuous refinement ensured consistency across components and a scalable system aligned with usability best practices.

I introduced subtle interactions and transitions to guide users when filtering, comparing, and exploring data. Continuous refinement ensured consistency across components and a scalable system aligned with usability best practices.

Research & Benchmarking

Research & Benchmarking

Research & Benchmarking

I analyzed existing analytics, pricing, and AI-driven dashboards to identify common patterns, best practices, and gaps in how competitive data is presented.

I analyzed existing analytics, pricing, and AI-driven dashboards to identify common patterns, best practices, and gaps in how competitive data is presented.

I analyzed existing analytics, pricing, and AI-driven dashboards to identify common patterns, best practices, and gaps in how competitive data is presented.

Heuristic Evaluation

Heuristic Evaluation

Heuristic Evaluation

I applied usability heuristics such as visibility of system status, consistency, visual hierarchy, and recognition over recall to inform layout and interaction decisions.

I applied usability heuristics such as visibility of system status, consistency, visual hierarchy, and recognition over recall to inform layout and interaction decisions.

I applied usability heuristics such as visibility of system status, consistency, visual hierarchy, and recognition over recall to inform layout and interaction decisions.

Information Architecture

Information Architecture

Information Architecture

Based on research insights and heuristic evaluation, I structured the dashboard to prioritize high-level metrics first, followed by detailed comparisons and tables.

Based on research insights and heuristic evaluation, I structured the dashboard to prioritize high-level metrics first, followed by detailed comparisons and tables.

Based on research insights and heuristic evaluation, I structured the dashboard to prioritize high-level metrics first, followed by detailed comparisons and tables.

Wireframing

Wireframing

Wireframing

I created low-fidelity wireframes to validate layout, hierarchy, and data grouping early in the process.

I created low-fidelity wireframes to validate layout, hierarchy, and data grouping early in the process.

I created low-fidelity wireframes to validate layout, hierarchy, and data grouping early in the process.

Competitive Score

Competitive Score

Competitive Score

yourproduct.com

yourproduct.com

yourproduct.com

75%

75%

75%

-0.5%

-0.5%

-0.5%

competitor.com

competitor.com

competitor.com

85%

85%

85%

+0.5%

+0.5%

+0.5%

competitor.com

competitor.com

competitor.com

62%

62%

62%

+0.5%

+0.5%

+0.5%

competitor.com

competitor.com

competitor.com

71%

71%

71%

-0.8%

-0.8%

-0.8%

competitor.com

competitor.com

competitor.com

50%

50%

50%

-0.8%

-0.8%

-0.8%

your product

your product

your product

Competitive score (%)

Competitive score (%)

Competitive score (%)

100

100

100

90

90

90

80

80

80

70

70

70

60

60

60

50

50

50

Dec 24

Dec 24

Dec 24

Jan 25

Jan 25

Jan 25

Feb 25

Feb 25

Feb 25

Mar 25

Mar 25

Mar 25

Apr 25

Apr 25

Apr 25

May 25

May 25

May 25

yourproduct.com

yourproduct.com

yourproduct.com

2,569 reviews

2,569 reviews

2,569 reviews

Sentiment

Sentiment

Sentiment

82%

82%

82%

competitor.com

competitor.com

competitor.com

2,569 reviews

2,569 reviews

2,569 reviews

Sentiment

Sentiment

Sentiment

62%

62%

62%

Insight

Insight

Insight

AI-powered Competitive Product Analytics Dashboard

AI-powered Competitive Product Analytics Dashboard

AI-powered Competitive Product Analytics Dashboard

UX/UI

UX/UI

UX/UI

AI

AI

AI

Prototyping

Prototyping

Prototyping

Figma

Figma

Figma

Clara Lewis

Clara Lewis

Clara Lewis

E-commerce Manager / Product Analyst

E-commerce Manager / Product Analyst

E-commerce Manager / Product Analyst

Persona

Persona

Persona

User

User

User

Background

Background

Background

Goals and Ambitions

Goals and Ambitions

Goals and Ambitions

Understand competitive pricing at a glance


Identify trends and changes in the market


Make confident, data-backed decisions quickly

Understand competitive pricing at a glance


Identify trends and changes in the market


Make confident, data-backed decisions quickly

Understand competitive pricing at a glance


Identify trends and changes in the market


Make confident, data-backed decisions quickly

Pain Points

Pain Points

Pain Points

• Fragmented data across multiple tools

• Fragmented data across multiple tools

• Fragmented data across multiple tools

• Time-consuming competitor analysis

• Time-consuming competitor analysis

• Time-consuming competitor analysis

• Overwhelming dashboards with poor hierarchy

• Overwhelming dashboards with poor hierarchy

• Overwhelming dashboards with poor hierarchy

Needs

Needs

Needs

• Clear prioritization of key metrics

• Clear prioritization of key metrics

• Clear prioritization of key metrics

• Easy comparison between products and competitors

• Easy comparison between products and competitors

• Easy comparison between products and competitors

• A dashboard that surfaces insights without unnecessary complexity

• A dashboard that surfaces insights without unnecessary complexity

• A dashboard that surfaces insights without unnecessary complexity

Clara is responsible for monitoring product performance and competitive positioning across multiple SKUs. They work with large volumes of data daily and need to make quick, informed decisions related to pricing, promotions, and product strategy.

Clara is responsible for monitoring product performance and competitive positioning across multiple SKUs. They work with large volumes of data daily and need to make quick, informed decisions related to pricing, promotions, and product strategy.

Clara is responsible for monitoring product performance and competitive positioning across multiple SKUs. They work with large volumes of data daily and need to make quick, informed decisions related to pricing, promotions, and product strategy.

Data-driven, fast-paced, performance-oriented

Data-driven, fast-paced, performance-oriented

Data-driven, fast-paced, performance-oriented

Hello Clara👋🏾

now

Competitor price dropped by 8%

Hello Clara👋🏾

now

Competitor price dropped by 8%

Due to the data-heavy nature of the product, visual expressiveness was intentionally restrained to prioritize clarity, performance, and scalability.

Due to the data-heavy nature of the product, visual expressiveness was intentionally restrained to prioritize clarity, performance, and scalability.

Due to the data-heavy nature of the product, visual expressiveness was intentionally restrained to prioritize clarity, performance, and scalability.

Sufficient color contrast for data readability

Sufficient color contrast for data readability

Sufficient color contrast for data readability

#675DF6

#675DF6

#675DF6

#EEF2FF

#EEF2FF

#EEF2FF

#00DCB1 - #00C4FF

#00DCB1 - #00C4FF

#00DCB1 - #00C4FF

#202C4F

#202C4F

#202C4F

Problem

Problem

Problem

E-commerce and product teams often struggle with competitive analysis because data is fragmented across different tools and sources, Hard to compare across products and competitors and Slow to interpret, leading to delayed decisions.

E-commerce and product teams often struggle with competitive analysis because data is fragmented across different tools and sources, Hard to compare across products and competitors and Slow to interpret, leading to delayed decisions.

E-commerce and product teams often struggle with competitive analysis because data is fragmented across different tools and sources, Hard to compare across products and competitors and Slow to interpret, leading to delayed decisions.

solution

solution

solution

Insight transforms what used to be scattered, overwhelming competitive data into a structured, clear dashboard that helps product and pricing teams to Quickly understand competitive positioning, Compare pricing and sentiment between products, Identify trends and anomalies with confidence and Act faster with less effort

Insight transforms what used to be scattered, overwhelming competitive data into a structured, clear dashboard that helps product and pricing teams to Quickly understand competitive positioning, Compare pricing and sentiment between products, Identify trends and anomalies with confidence and Act faster with less effort

Insight transforms what used to be scattered, overwhelming competitive data into a structured, clear dashboard that helps product and pricing teams to Quickly understand competitive positioning, Compare pricing and sentiment between products, Identify trends and anomalies with confidence and Act faster with less effort

Instead of overwhelming users with numbers, the interface had to highlight what matters and why it matters.

Instead of overwhelming users with numbers, the interface had to highlight what matters and why it matters.

Instead of overwhelming users with numbers, the interface had to highlight what matters and why it matters.

Good dashboards guide the eye, not overload it.

Good dashboards guide the eye, not overload it.

Good dashboards guide the eye, not overload it.

Quick Lessons

Quick Lessons

Quick Lessons

THANK YOU

THANK YOU

THANK YOU

THANK YOU

THANK YOU

THANK YOU

Create a free website with Framer, the website builder loved by startups, designers and agencies.