Case Studies

June 30, 2026

Finding the Signal: How Deep User Research Defined A Trading App’s Edge

Finding the Signal: How Deep User Research Defined A Trading App’s Edge

In a Nutshell

0

Participants engaged across consumers and investors

0

Product insights uncovered to improve usability and support conversion

0

Strategic feature opportunities identified to drive growth and retention

0

Evidence-based personas defined, with two prioritised for growth
01

The Client

The organisation is a multi-asset trading app offering access to over 13,000 financial instruments with transparent pricing, low fees, and an intuitive platform built around intelligent tools for both everyday traders and experienced investors. The platform is backed by an established global financial services group headquartered in the United States.

Person using a smartphone and laptop to monitor financial trading charts.

Employees

201-500

Location

London, UK

Industry

FinTech
02

The Challenge

The trading platform wanted to strengthen its value proposition and identify new growth opportunities. To do so, it needed a clearer understanding of audience behaviors, pain points, and expectations across two distinct groups: consumers and investors.

That meant building a clearer, evidence-backed picture of who its priority users were, what mattered most to them, and where the strongest growth opportunities existed. So the organisation could sharpen its product-market fit, define differentiated value, and make confident product and go-to-market decisions.

03

The Solution

Ciklum partnered with the trading app to build the evidence base it needed to act with confidence. Through a phased mixed-method research program, the team combined interviews, usability testing, surveys, and market research to uncover audience needs, validate opportunities, and shape recommendations for product strategy.

04

How We Did It

Magnifying glass highlighting a customer profile and contact information.
Two-Phase Research Engine

We ran a two-phase research program with 557 participants across consumers and investors. Combining qualitative and quantitative methods gave the company a robust, evidence-backed foundation for product and growth decisions.

Growth chart with brain and gear icon representing AI-driven analytics.
Audience Insight and Usability Testing

Through in-depth interviews and usability tests, we explored user habits, frustrations, and unmet needs. This gave the product team a grounded, detailed view of real user behavior across both audiences.

Computer dashboard displaying a performance gauge and speed indicator.
Stress-Testing the Findings

We followed the qualitative work with a survey and three rounds of desk research to validate findings at scale and map the wider market context. This revealed where the strongest opportunities existed and where the platform could build the most distinct value.

Person with magnifying glass and star representing talent identification or candidate evaluation.
Getting Inside the User's Head

We translated the findings into five evidence-based personas, with a focus placed on the two most important for growth. The research also surfaced 23 product insights and 14 strategic feature opportunities to guide future roadmap, retention, and acquisition decisions.

05

The Results

0

Participants engaged across consumers and investors

0

Product insights uncovered to improve usability and support conversion

0

Strategic feature opportunities identified to drive growth and retention

0

Evidence-based personas defined, with two prioritised for growth

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