Case Study: MVP development of Q&A and voting service
The Client aimed to develop an MVP (Minimum Viable Product) of a new Q&A service allowing users to create yes-no questions and get feedback from users.

40
%
faster interpreter onboarding vs. incumbent RSI tools
30
%
fewer session errors from audio channel management
Business challenge
Initially the application was planned to study public opinions during elections. Today the service owners expanded the service target audience. This MVP has been developed for further search of investors.
Our solution
Following iterative approach, the whole development process was divided into 2-week sprints with results demonstration to Investors.
Distinctive features:
- question-making module;
- 2-step authentication;
- private / public questions;
- statistics module;
- time management;
- integration with social networks;
- mobile optimization.

Business benefits
The Client got a working MVP ready for further marketing and business research. Today the service is in its beta-testing stage. The Client is looking for investments to continue the development.
Before:
- The Client had a validated product concept for a Q&A and voting service but no working software to demonstrate to investors.
- Investor alignment during development required regular progress visibility, with no structured review cadence in place.
- The platform was inaccessible from mobile devices – a significant gap for a public-opinion service targeting broad audiences.
- Public questions had no privacy controls and no mechanism to reach users outside the registered base.
After:
- A fully functional 7-module MVP – question creation, statistics, time management, and social sharing – gave the Client a concrete, demoable product for investor meetings.
- Bi-weekly sprint demos built investor visibility into every stage of the build, with the full feature scope delivered in 2 months.
- Mobile optimization across Android, iOS, and BlackBerry made the service accessible on every major mobile platform from launch.
- A private/public question model with invitation links allowed selective distribution and onboarded new users directly from within the platform.
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