endorsedOngoing

Property Search iOS App and Web Platform

Services Covered:

Mobile Application Development • Website Development • Cloud Consulting and Services • Chatbot Development

Industry

Real Estate

Duration

125 months

Budget

200K - 999K

Start Date

1 March 2016

Team Size

6-10 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

70/100

Good

Project Capability Score (PCS) estimates how capable EL Passion is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Rightmove Group Limited

Milton Keynes, United Kingdom

Project Summary

El Passion provided full-stack development for an iOS app and a Ruby-backed web platform, producing high-fidelity designs, creating and configuring cloud infrastructure, and deploying a complex Elasticsearch-backed backend. They also developed a Facebook Messenger natural language bot and transitioned the engagement toward production support; the client praised the team's technical quality, discipline, and project management even though usage remains low due to limited promotion.

Key Challenges

Create a brand-new property search experience focused on renters in London
Make the search process easier and more pleasant for people looking for rental properties

Project Deliverables

iOS application
Web application backend (Ruby web app)
Elasticsearch cluster
Natural Language Bot for Facebook Messenger
High-fidelity designs
Cloud infrastructure and configured cloud services

Project Solution

El Passion implemented the end-to-end product: they built an iOS application and the accompanying web application backend written in Ruby, designed and configured cloud infrastructure, and operated a large Elasticsearch cluster for search. They collaborated with UK designers for user research and testing, produced high-fidelity designs, and developed a Natural Language Bot for Facebook Messenger to support property search, viewings booking, and agent Q&A. The team ran Agile pilot sprints during vendor selection and then staffed the project with multiple designers and developers, later moving into production support.

Project Outcome

Usage remained low because the app was not promoted
Early qualitative and quantitative measurement was planned to start in July, with an early prognosis that users love many features
The app was launched in the App Store in April
Project management exceeded expectations; the team used JIRA and Slack and demonstrated high technical quality and commitment

Platforms

Mobile
Web
Cloud

Tech Stack

Ruby
Elasticsearch
iOS

Client Endorsement

Overall Review Rating

4.63

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Thanks to El Passion’s extensive feature builds, the app has earned praise from users in response to its reliability and functionality. The team’s ability to manage complex inputs with discipline and creativity allows them to meet high standards.”
Anonymous
Product Development
Date: 05/23/2017