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2025
CASE / 01

Trading Bots

Helping everyday investors use automated trading tools for advanced financial contracts through clearer guidance and simpler decision-making.

Role
Product Design
Year
2025
Platform
Mobile
Company
XP Inc.
Status
Live
◇ 01 / Snapshot
Context

XP’s futures market share had been declining, making it a priority for our team. Working with product and engineering leads, we identified an opportunity to simplify our Trading Bots product and make it more approachable for first-time users.

Challenge

The product was originally built for experienced traders and relied heavily on technical language, acronyms, and complex flows. But our biggest growth opportunity came from long-term investors with limited to no trading experience who wanted to diversify and felt overwhelmed by the experience.

Outcome

We transformed a complex trading tool into a more guided and accessible experience. The flow became shorter, the language clearer, and the charts easier to understand. More users completed their first investment, retention improved, and revenue grew even in a flat market.

02
System Overview

Instead of designing around a simple “activate” action, we focused on helping users understand their decision before investing. We removed advanced settings from the early steps and reorganized the experience around three things: - a simple introduction to the strategy - easy-to-read performance visuals - a simulation feature that showed possible outcomes before investing real money

New user journey
Old user journey
◇ 03
Key Decisions
  • 01

    Plain language instead of trading jargon

    We rewrote technical terms using the same language financial advisors naturally used in conversations with clients.

    Why it matters

    The product started to feel more familiar and less intimidating, especially for users who were new to this type of investment.

  • 02

    Bringing research into the onboarding flow

    Performance history and simulations became part of the activation journey instead of being hidden in separate analysis screens.

    Why it matters

    Users could evaluate a strategy without leaving the flow, which helped reduce hesitation before investing.

  • 03

    Setup reduced from five six to four

    We removed repeated confirmation steps and technical forms that weren’t necessary for most users.

    Why it matters

    The shorter flow reduced friction and helped more people complete the setup process.

  • 04

    Renaming the product to match user language

    We renamed the product from "Automated Strategies" to "Trading Bots".

    Why it matters

    “Trading Bots” matched the language users were already searching for and was easier to understand at a glance.

04
Interface

High-fidelity

The interface was redesigned to be easier to scan and understand. Instead of relying on dense tables and technical data, we prioritized clear typography, spacing, and visual summaries. Performance information became more visual and less dependent on numbers alone, helping users quickly understand how a strategy was performing.

Onboarding
Shelf
Checkout
Performance
05
Interaction Details

System feedback

Microinteractions were designed to provide continuous feedback during the trading experience. From activation confirmations to graph transitions, each motion cue helped users understand what changed and why.

Activation interaction
Graph interaction
Scale interaction
06
Outcome

What improved

+43%
Growth in new activations
+11%
Revenue growth
−2.7 pp
Reduction in first-month churn

Even during unstable market conditions, the increase in active users reinforced that making the product easier to understand was also a strong business decision.

07
Reflection

What I'd rethink

This project reinforced that simplifying financial products is less about removing information and more about helping people understand what matters. In future iterations, I’d like to explore ways to support continuous learning so users can feel more confident during volatile market conditions.