project summary
Real Reviews (real-reviews.ru) collects reviews, unifies data, extracts topics and sentiment, and then shows the owner service quality trends. The platform reduces manual work, speeds up reaction to negative feedback, and provides clear reporting. Delivery time: 1 month. Project cost: 350,000 RUB.
THE TASK
The client needed an integrated mechanism that collects reviews from multiple sources, standardizes the data, and helps the business owner quickly understand service quality.
The goal was not only to store reviews. The system had to support decision-making: track trends, identify recurring issues, show sentiment and topic patterns, and provide regular reporting without manual processing.
WHAT HAPPENED BEFORE
Before the platform, reviews arrived in a fragmented way. Some data was collected manually, some was incomplete. Conclusions were often based on intuition and separate summaries, while the reaction speed to deterioration in service quality was lower than expected.
SOLUTION
We developed Real Reviews (real-reviews.ru) as a reputation analytics system. Inside, a processing pipeline runs: review collection from configured sources, data normalization, deduplication, topic classification, and preparing a reporting data layer for dashboards.
- Review collection on schedule and on updates.
- Data normalization: ratings, dates, identifiers and source links.
- Deduplication and quality checks.
- Topic classification and grouping by relevant entities.
- Analytics: rating dynamics, sentiment, trends and period comparisons.
- Signals: alerts for growth of negative topics and sudden shifts in feedback patterns.
- Reporting: clear pages and owner-ready exports.
OWNER-FOCUSED USABILITY
The interface is built around management scenarios. The owner can quickly see which topics grow, which problems repeat, and how the overall sentiment changes. To reduce response time we also prepared communication templates and quick links to original reviews.
IMPLEMENTATION PLAN (DELIVERY 1 MONTH)
- Week 1: audit of sources, data modeling, collection scheme setup.
- Week 2: processing pipeline, deduplication, topic taxonomy, first analytics.
- Week 3: analytics dashboard, filters, period comparisons, alerts, test exports.
- Week 4: tuning based on real incoming data, launch, user onboarding, SLA definition.
RESULT
Real Reviews turns reputation data into actionable decisions. The owner gets a repeatable view on service quality: rating dynamics, recurring issue detection, and increased transparency of the improvement process.
Delivery time: 1 month. Project cost: 350,000 RUB.