Explorers App

Transforming business data collection across LATAM

Mobile app
Lead designer

Timeline
2019-2020

Team
CTO, 1 Engineer, and myself

Highlights
The app was sccessfully  launched in Brazil and Aruba, resulting in increased user adoption and market presence, and collecting thousands of new verified POIs.

Main screen of Kuebiko's data manipulation tool with SQL tool
Explorers play store images
Overview

Explorers is a mobile app designed for field agents across LATAM to validate and collect data on local businesses to earn money. With a flexible workflow and country-specific logic, it empowers teams to gather structured information in complex regulatory environments, online and offline.

The app was built to bridge gaps in coverage, language, and usability, replacing outdated survey tools with a responsive, intuitive experience.

The Problem

How do we design a system that adapts to changing regional rules, supports structured input, and keeps agents productive and engaged even when connectivity is limited?

Main screen of Kuebiko's data manipulation tool with SQL tool
Map view on dark and light modes
Approach & Research

We embedded ourselves in the field, working alongside agents to document their pain points. Through interviews, shadowing, and testing mockups in live environments, we learned how workflows broke down and where interventions would matter most.

We also mapped the full data lifecycle, from collection to review, to identify which moments needed more structure, and which needed flexibility.

Pain points
Varying regulations and formats

Each country had its own requirements, from business categories to legal requirements.

Project-specific requirements

Clients often requested data tailored to their own criteria, requiring the creation of unique projects with custom inputs and logic.

Heavy text input and drop-off

Long forms made data entry tedious on mobile. Many users struggled to stay engaged or complete entries because of connection issues.

Ensuring data quality and trust

With no in-app safeguards, it was hard to detect fake entries or spot patterns that suggested unreliable data.

What I Did
  • Designed unique onboarding and sign-up flows tailored to local regulations and user behaviors in each country
  • Introduced gamified elements and incentives to improve engagement and task completion
  • Implemented notification patterns to guide agents and reduce drop-off across long tasks
  • Restructured forms using smart defaults and conditionals for better clarity and faster entry
  • Identified patterns to implement backend tools to verify data quality in real time and flag suspicious submissions
Main screen of Kuebiko's data manipulation tool with SQL tool
My submissions screen showcases all the work done by explorers and the money they have earned
Main screen of Kuebiko's data manipulation tool with SQL tool
In the create a business screen our explorers could add all the business details by sections.
Key Design Work

A hypothesis

Design for structure without slowing people down.

We hypothesized that small guidance cues, smart defaults, and a forgiving UI would reduce errors without increasing time per task.

Dynamic Forms
Built form structures that changed based on country, legal type, or user input, while keeping the interface simple and readable.

Location Mapping
Introduced an interactive map flow for selecting and verifying business coordinates, reducing mismatches and missed records.

Form Feedback
Added in-form error states, nudges, and progress markers to improve completion rates and reduce rejection.

Project Setup and Training
Developed flows for creating and training new projects tailored to client-specific needs, allowing quick adaptation to different data types and collection goals.

Main screen of Kuebiko's data manipulation tool with SQL tool
Training material, it was different for each project but they all contained the same steps.
Outcomes

Reflection

Explorers taught me how to design for context and scale. Working closely with people in the field made it clear that great UX isn’t about perfection, it’s about making space for flexibility, speed, and human error.

  • Rolled out to agents in 4 countries with localized variations
  • Increased data approval rates by 60% through guided flows
  • Cut data collection time by ~30% on average
Main screen of Kuebiko's data manipulation tool with SQL tool
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