Filter, slice, and pivot every data point Crescendo collects. Drill into any cell to re-slice the dashboard. Everything below — chat, competitor radar, recommendations — stays in sync.
Sentiment
Star range
Platform
Time range
Search review text
Top themes (360 unique)
Reputation pulse
Bel-Fries — 4.6★ across 500 reviews
Rating, sentiment, volume over time
Last 10
4.80★
Recent cohort
Lifetime
4.62★
All-time
Trend
+0.18
Up
Category × sentiment
Click any cell to drill in — the chart on the left re-slices.
Your line is bold; each competitor is a dashed overlay. Look for spokes where a competitor juts past you — those are the stealable wins, ranked by gap size in the Reputation tab.
Category sentiment vs competitors
Thick teal line = you. Look for spokes where you're noticeably below a competitor — those are stealable wins.
PERSONA BREAKDOWN
Who's actually leaving these reviews
Cohorts derived from review patterns, sorted by share. Each row shows persona size, avg rating, estimated LTV, and churn risk.
Persona matrix — volume vs rating
X-axis: % of reviews · Y-axis: avg rating · Size: review count. Full detail on the Reputation tab.
7 cohorts derived from review patterns — sorted by share. LTV and risk model how much each cohort is worth, and how much you stand to lose if they churn.
The Casual Satisfaction Seeker31.4% of reviewers 4.9~$1,820 LTVlow risk
The Quiet Loyalist21.2% of reviewers 4.8~$1,688 LTVlow risk
The Service-Focused Appreciator14.8% of reviewers 4.6~$2,789 LTVlow risk
The Enthusiastic Advocate13.6% of reviewers 5.0~$3,798 LTVlow risk
The Quality Purist Critic11.8% of reviewers 3.0~$777 LTVmed risk
The Variety-Seeking Explorer4.8% of reviewers 4.8~$3,651 LTVlow risk
The Convenience-Focused Visitor2.4% of reviewers 4.8~$3,585 LTVlow risk
STRATEGIC RECOMMENDATIONS
What we'd build if we ran this business
Five to seven projects, ranked by estimated annual dollar impact. Regenerate any project for a different angle — Crescendo won't repeat what's already in the list.
Projects · ranked by dollar impact
Scope · outcome · why now · expand any card for the full detail
1Growth·$5-10K effort·3-4 weeks
What we'd build
Value Perception AI + Dynamic Pricing Dashboard
Smart pricing engine that eliminates 'overpriced' complaints while maximizing revenue per customer.
Expected outcome
Eliminates the 7 'overpriced' complaints while maintaining margins through better value perception and strategic bundling
Why now
7 'overpriced' complaints despite strong product quality show a value communication problem, especially against Fat Boys' positive pricing sentiment of 0.835.
Cost of inaction
The 'overpriced' perception is driving away price-sensitive customers worth $8-12K monthly in lost sales, while poor value messaging prevents upselling to existing customers who already love the product quality.
~$194k/yr lift
2Visibility·$5-10K effort·3-4 weeks
What we'd build
Neighborhood Fries Authority Content Engine
AI-generated local SEO content that positions you as the Lower East Side fries destination.
~$145k/yr lift
3Reputation·$5-10K effort·2-3 weeks
What we'd build
Review Response AI with Brand Voice Learning
Custom AI that responds to every review in your authentic voice while you focus on fries.
~$113k/yr lift
4Operations·$10-15K effort·5-6 weeks
What we'd build
AI Fresh-Quality Monitoring + Dynamic Response System
Real-time freshness alerts plus automated review damage control that learns your voice.
~$81k/yr lift
5Operations·$5-10K effort·3-4 weeks
What we'd build
Rush Hour Optimization + Wait Time Predictor
AI-powered kitchen workflow system that eliminates the 3 'long wait' complaints during lunch rush.
~$81k/yr lift
6Intelligence·$10-15K effort·4-5 weeks
What we'd build
Customer Journey Intelligence + Persona Engine
Transform your 520 reviewers into segmented growth machine targeting Quality Critics and Service-Sensitive Skeptics.