What does trend tracking show in Reviato?

Interactive charts for rating movement, topic/theme shifts, and sentiment changes over time.

Is this "real-time" monitoring?

No real-time guarantees. It's trend tracking over time based on available review data.

Does Reviato detect anomalies automatically?

No. It doesn't claim anomaly detection. You use the charts to spot changes and then investigate.

Why do trends matter if my average rating looks fine?

Averages can stay flat while topics and sentiment drift. Trends help you see direction before the rating catches up.

What's the biggest mistake people make reading trend charts?

Treating a tiny spike as a "new normal" without checking review volume and the underlying reviews.

How do I confirm what's driving a trend?

Use review search/filtering to pull the reviews from the relevant time window and read the evidence.

Can I connect trends to aspects like cleanliness or value?

Yes. Pair trend tracking with aspect analysis to see which buckets are moving.

What if my review volume is low?

Expect noisier charts. Use longer time windows and verify with individual reviews instead of trusting small swings.

Can I use this across multiple locations?

Yes. Trend charts become more useful when you can compare locations and see where a shift starts.

Features

Review trend tracking that answers "better or worse?"

Interactive charts for rating movement, topic shifts, and sentiment changes over time. Verify trends by reading the reviews behind the line.

How to use this page

Use this page as a practical reference, then apply the ideas to your own operation and constraints.

Focus on one actionable change at a time and measure outcomes before moving to the next change.

Key Highlights

Rating movement: Track how ratings move across weeks and months. The "headline" chart is useful, but often late to react.
Topic/theme shifts: See which themes are rising or fading. Catch drift early, new complaints, old problems returning.
Sentiment changes: Spot slides in guest language even when star ratings lag behind reality.

Investigation examples

Cleanliness mentions rising

Narrow the date range, search for "dirty", "smell", "bathroom". Look for repetition in same room type or shift.

Value sentiment dropping after price change

Split chart into "before" and "after". Look for "smaller portions", "not worth it", "hidden fees".

Service improving after staffing change

Mark the date, watch service topics over next few weeks. Validate if complaints shifted or disappeared.

How to read trend charts

Seasonality

Some dips are patterns. Compare the same period year over year before you "fix" anything.

Review volume effects

Low volume makes charts twitchy. Two bad reviews in a quiet week can create a dramatic drop.

Spikes vs slow drift

Spikes point to incidents (need containment). Drift points to process gaps (need system fixes).

What trend tracking is not

It is not forecasting, it does not guarantee outcomes, and it is not real-time alerting.

Where this helps

Post-change checks

Review trends after a menu, staffing, or process change.

Location comparisons

Spot which location started a shift first.

Weekly review

Use one chart to decide what to investigate this week.

Stop arguing about whether things are improving

Open the trend chart, pick the shift, then read the reviews that caused it.

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