AI Research Study by Creative Mantra

An applied AI research study from Creative Mantra, the Mumbai-based AI and software agency, covering the research question, method, experiments, and findings behind a real model or system we built and evaluated.

What's inside

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Research Study · AI Research · 2024

Asking the
right question

Back to Work

An applied research study — the question we set out to answer, how we tested it, what we found, and what it means for the system we built.

AI Research Applied Study
Aurel

Method

How we studied the question

01

Literature & Data Review

Reviewed existing approaches and prior work, then assembled and audited the dataset the study would run on — before touching a model.

Literature Review Dataset Audit Baseline Definition

02

Experiment Design

Defined the variables under test, the control conditions, and the metrics that would count as a real result rather than noise.

Hypothesis Controlled Testing Metric Design

03

Evaluation & Analysis

Ran the experiments, measured results against the baseline, and stress-tested findings against edge cases before calling anything conclusive.

Benchmarking Statistical Analysis Peer Review

Research Question

The question we set out to answer

Industry Technology & SaaS
Location
Canada 🇨🇦
Year 2023
Client Alex Morgan
Services Used
Brand Identity UI/UX Design AI / ML Web Development
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Research Objectives

What a good answer looked like

Objectives were defined up front so we knew exactly what a conclusive result would look like before running a single experiment.

01

Strengthen Online Presence

Create a polished, authoritative digital presence that builds trust with new visitors and communicates the brand's value within seconds of landing.

02

User-Centric Experience

Design every touchpoint around real user behaviour reducing drop-off, improving onboarding clarity, and making the path to conversion as frictionless as possible.

03

Highlight Key Features

Surface the product's most powerful capabilities front and centre through clear visual hierarchy, interactive demos, and storytelling that connects features to real-world outcomes.

04

Promote Partnerships

Build dedicated sections for partner programmes and integrations, signalling to ecosystem players that Aurel is open for collaboration and enterprise-grade co-selling.

Research

Listening before designing

We engaged a broad audience spanning professionals aged 25–40 through moderated interviews, usability surveys, and competitive analysis to pinpoint exactly what users wanted and where existing solutions fell short.

The research phase ran for two weeks and shaped every design decision that followed from information architecture to micro-interaction patterns and onboarding copy.

40+

Interviews

200+

Survey Responses

8

Competitors Audited

Key Observations

Diverse User Base

Users ranged from tech-savvy founders to non-technical executives the design had to work for everyone without dumbing anything down.

User Onboarding Clarity

60% of drop-offs happened in the first three steps. Simplifying onboarding flow was the single highest-impact improvement we could make.

Highlight Key Features

Users couldn't articulate the product's core differentiators after visiting the old site. Feature visibility needed a complete rethink.

Seamless User Journey

Every step from discovery to conversion needed to feel continuous no dead-ends, no confusion about what to do next.

Pipeline & Architecture

How the system actually runs

From raw input to final output — each stage of the pipeline, what it does, and why it's there.

Pipeline 5 Steps
01
Homepage 01

Browse Products

Visitor arrives and explores the full product catalogue.

02
Product Detail 02

Choose Product

Clicks through for a deeper look at capabilities.

03
Lead Generation 03

Register

Fills sign-up form, triggering the lead sequence.

04
Dashboard 04

Get Access

Receives credentials and enters the personalised dashboard.

05
Feedback 05

Rate Experience

Submits rating, feeding into our improvement loop.

Research Timeline

12 weeks, zero surprises

A clearly phased workflow kept every team research, design, and engineering moving in sync. Each phase had defined outputs, a review gate, and a named owner so nothing slipped between the cracks.

Team Involved

Project Stats

Key Findings

Model Card

The model, the data & what we measured

Model & Data

Considerations & Limitations

Screens

The finished interfaces

Result

From fragmented to iconic in 12 weeks

Aurel saw a 4× uplift in conversion rate within the first 60 days of launch. The centralised brand system reduced design-to-production time by 70%, while real-time AI insights allowed their leadership team to make faster, more confident decisions.

The project positioned Aurel strongly for their Series A raise, with investors citing the polished brand and platform maturity as key factors in their decision.

4×

Conversion uplift

98

Lighthouse score

12wk

Delivery

Project result

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