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 (599 unique)
Reputation pulse
Café Maud — 4.5★ across 547 reviews
Rating, sentiment, volume over time
Last 10
4.50★
Recent cohort
Lifetime
4.50★
All-time
Trend
—
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.
8 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 Gracious Regular29.1% of reviewers 5.0~$3,877 LTVlow risk
The Vibes Enthusiast20.7% of reviewers 4.8~$3,803 LTVlow risk
The Quiet Loyalist19.0% of reviewers 4.6~$1,702 LTVlow risk
The Service Quality Monitor15.9% of reviewers 3.8~$1,606 LTVmed risk
The Practical Critic9.3% of reviewers 3.4~$852 LTVmed risk
The Time-Conscious Diner2.6% of reviewers 2.9~$824 LTVhigh risk
The Visiting Explorer1.8% of reviewers 5.0~$3,862 LTVlow risk
The Accommodating Seeker1.6% of reviewers 4.6~$2,744 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
Quality-Conscious Moderate Conversion Engine
Personalized follow-up system that turns 3.75-star reviewers into 4.5+ advocates through targeted service recovery.
Expected outcome
Converts 60-75% of 3.75-star Quality-Conscious Moderates to 4.5+ ratings, adding 0.15-0.2 points to overall average
Why now
The persona audit specifically identified Quality-Conscious Moderates as 'the biggest growth opportunity' with 'actionable feedback about fixable issues like portion consistency' - exactly what's needed to jump from 4.42 to 4.6+.
Cost of inaction
The gap between their 4.42 rating and competitors' 4.6+ continues widening as fixable portion and consistency issues generate 3-star reviews instead of the 5-star experiences these customers want to give.
~$194k/yr lift
2Visibility·$5-10K effort·3-4 weeks
What we'd build
Fresh Ingredients AI Search Content Pipeline
Automated content engine that positions Café Maud for high-intent brunch searches around fresh, quality ingredients.
~$145k/yr lift
3Reputation·$3-5K effort·1-2 weeks
What we'd build
Negative Review Zero-Response Recovery System
AI-powered response engine that addresses the 0% negative response rate with brand-consistent, empathetic responses.
~$113k/yr lift
4Operations·$10-15K effort·4-6 weeks
What we'd build
AI Service Standards Guardian with Staff Alert System
Real-time service quality monitoring that catches issues before they become negative reviews.
~$81k/yr lift
5Operations·$5-10K effort·2-4 weeks
What we'd build
90-Minute Policy Communication AI Assistant
Proactive table management system that turns time limit frustrations into smooth, explained transitions.
~$81k/yr lift
6Intelligence·$10-15K effort·4-6 weeks
What we'd build
Brunch Rush Predictive Operations Dashboard
AI-powered weekend demand forecasting that optimizes staffing and prep to eliminate service bottlenecks.