FLECTO: DIGITAL RECRUITMENT PLATFORM
We created a digital platform aimed at fundamentally transforming the labor market. The project was managed using an agile approach, which helped us deliver the scope, budget, and timeline with pinpoint accuracy.
Project length
03/2021 - 12/2021
Team size
5-8 people
Technologies
React, Kotlin, Spring Boot, Google Cloud Platform
CLIENT OVERVIEW
Flecto is a portal that connects employers offering low-skill jobs with individuals who are looking for work but cannot commit to a full-time job with one employer. The platform breaks full-time positions into smaller shifts, allowing registered users to create their own work schedules, possibly across multiple employers. Flecto responds to the growing trend of the gig economy.
CLIENT’S REQUEST
Co-founders of Flecto, Kateřina Tkadlecová and Jana Stehlíková, needed to create an intuitive, 24/7 accessible system that was easy to navigate not only for job seekers but also for HR personnel managing shifts within Flecto. They collaborated intensively with us throughout the development process.
SOLUTION
In the first phase of the project, we helped define the MVP (minimum viable product). The clients came to us with a clear budget, a set deadline, and a vision for the system, but lacked a detailed specification. Through user story mapping, we determined the most essential parts of the system to develop first, deferring others for later. We also provided consultations for more complex business decisions, such as whether to build a mobile app and how notifications should be sent to users.
In the second phase, we tested the MVP and developed additional features. After building the core MVP, we conducted real-world testing with potential customers and candidates. As we moved forward, we developed features based on both the clients’ priorities and insights gained from user testing.
CHALLENGES AND INTERESTING ASPECTS
The development was agile, with estimations of work precision to the nearest percentage point. Rather than estimating hours in terms of mandays (MD), we used a relative unit of measurement called story points (SP). We estimated the relative workload for all features and set a price per SP. Based on these prices and priorities, the clients decided which features to develop in the upcoming sprints.
Thanks to this agile approach, we were able to deliver the project within budget, maintaining a margin of over 3% under the original estimates.