What was once hidden, is now visible.
Get a clearer view of the full drive-thru experience, revealing missed revenue, service breakdowns, and coaching opportunities that traditional reporting can miss.
Benefits
Objective measurement at scale
Standardize performance measurement across shifts and stores with deterministic, versioned scoring so trends are comparable over time, not dependent on who reviewed what.
Analyze every customer interaction
Process drive-thru customer interactions so you’re not relying on mystery shoppers, manual reviews, or small samples.
Coaching-ready intelligence
Surface best-practice and improvement examples with evidence so teams can coach from proof, not opinions.
The metrics you can’t afford to ignore
• Upsell Success Rate
• Missed Upsell Opportunities
• Customer Sentiment Score
• Error Rate
• Efficiency Score
• Conversation Complexity
• Store rankings
• Percentile performance
• Comparisons by store, shift, daypart, chain average, and historical period
From visit conversation to action
See what's happening
Real visit information becomes visible, with the moments that matter highlighted.
Understand why it matters
Evaluation details turn the conversation into observable performance signals.
Know what to do next
Detected issues surface the action your team should take.
Know where to focus
Store comparisons show where performance is strongest, weakest, and drifting.
Features spotlight
Store performance dashboard
Shift/store/chain views with trends, comparisons, rankings, and denominator transparency.
Conversation examples report
Filter to find high and low scoring examples with highlights, annotations, and context.
Export and sharing
Export data (CSV) and charts (PNG/PDF). Export coaching examples (text/PDF) with annotations.
Deterministic, versioned scoring
Fixed scoring rules over stored features for consistent, auditable comparability over time.
Evidence-backed explainability
Pointers to transcript spans explain why a feature triggered without using evidence as scoring input.
Denominator transparency (metric eligibility)
Conversation classification gates order-specific metrics; eligible counts stored alongside results.
Frequently Asked Questions
Is Drive-thru Analyzer real-time?
Analyzer is designed for batch processing so you can analyze every conversation at scale. Near-real-time workflows can be aligned based on requirements and timeline.
Do you integrate with POS systems?
Analyzer can operate without POS integration by extracting order detail from conversation text. POS connectors are an expansion path when customers want enriched order context.
How do you keep scoring consistent?
Scoring is deterministic and versioned. Changes create explicit new versioned outputs – no silent overwrites.
What outputs can I share with my teams?
Export dashboard data and charts, and generate coaching-ready example packs (text/PDF) with highlights, annotations, and context.
Stop guessing today
Drive-Thru Analyzer surfaces issues, explains why they happen, and shows where to focus next.
