LIVE INTERACTIVE DEMO

Triple your Google reviews. Catch complaints privately.

Most happy customers never leave reviews. Most unhappy customers leave 1-star Google reviews. Mukh.1 flips both — asks at the right moment, routes happy → public, unhappy → private fix.

+3×
Google review volume
–67%
Public 1-star reviews
94%
Issue recovery before review
See the journey
SCROLL

Reviews are won or lost in a 24-hour window.

After service, customer is at peak satisfaction (or frustration). Most businesses ask for reviews via email 1 week later. By then, momentum is gone.

Without Mukh.1

Wrong moment, wrong channel

  • Generic email "review us" 1 week after — 5% open rate
  • Happy customers don't bother leaving reviews
  • Unhappy customers DO bother — they leave 1-stars
  • No way to catch issues in private first
  • Negative reviews on Google damage rankings
  • Compensation/recovery happens too late
→
With Mukh.1

Right moment, right channel

  • WhatsApp 24 hrs after service (90% open rate)
  • NPS 1–10 (1 question, 5 sec)
  • High score → "share on Google" (with a coupon)
  • Low score → "what happened?" (private feedback)
  • Real-time escalation for serious issues
  • Pattern detection: which staff/dish/service drives churn

How it works — every stage interactive.

Scroll to see exactly what happens, end-to-end.

01
TIMING

WhatsApp · 24 hours after service

Trigger: customer's service completes (POS event, delivery confirmation). 24 hrs later, automated WhatsApp asking for NPS.

  • Triggered by POS or delivery event
  • Optimal timing tested per industry (24h F&B, 48h e-comm, 7d SaaS)
  • Skip-quiet hours (no Friday-night messages)
24h post-serviceWhatsApp · SMS · Email fallback
app.mukh.one/feedback
Today's NPS responses · 47
⭐
34 customers · score 9–10
Promoters · 78% asked for Google review
🟢 +
12 left Google reviews22 used coupon next visit
🟡
8 customers · score 7–8
Passives · feedback collected
🟡 ~
Top theme: service speed15% off coupon offered
🔴
5 customers · score 0–6
Detractors · escalated to manager
🔴 −
Manager called within 30 min4 of 5 recovered (no public review)
02
TRY THE FLOW

NPS · branch by score · live

Tap a score. See how the conversation diverges. High → Google review. Low → recovery flow.

  • 1-question NPS (no survey fatigue)
  • Branches based on score
  • Recovery flow for detractors
<60sWhatsApp · SMS

Saffron Kitchen

24h after your visit

03
PROMOTERS

Routed to Google · with a coupon

Score 9–10? "Tap to share on Google" link. Most happy customers don't bother going to Google unprompted — but a tap link converts 22%.

  • Direct Google review link (no friction)
  • Thank-you coupon for next visit (drives loyalty)
  • Optional: route to Tripadvisor, Yelp, etc.
Tap-to-reviewGoogle · Tripadvisor · Yelp
app.mukh.one/promoter-flow
Email blast ✕
Mukh.1 ✓
90% OPEN, 22% CONVERT
WhatsApp 24 hrs later: "You scored us 10! 🎉" "Would mean the world if you shared on Google — takes 30 sec." [⭐ Tap to review] + "Use code THANKS10 for 10% off next time."
Why this works
Right moment (peak satisfaction). Right channel (90% open). Direct link (no friction). Coupon (incentive). 22% leave a review · vs 0.3% email.
04
DETRACTORS

Caught in private · before they go public

Score < 7? Bot asks "what could be better?" If serious, escalates to manager immediately for personal call. 94% of issues recovered before public review.

  • Private feedback for low scores
  • Auto-escalation for serious complaints
  • Manager personal call · auto-coupon offered
Real-time escalationSlack · WhatsApp · phone
#feedback-escalations · Hassan (Manager)
F
Mukh AIjust now
🚨 Detractor · Sara Khan · NPS score 5
What happened
Customer
Sara Khan · 8th order · VIP
Order
ORD-44291 · last Sunday
Issue
Order arrived cold + 65 min late
Risk
Likely to leave 1-star Google review unless recovered
Suggested action
Call now
+971-50-XXX-1234 · personal call from Hassan
Compensation
Full refund + AED 100 credit + free dessert next time
Follow-up
Re-engage in 2 weeks with personal invite
05
PATTERN ANALYTICS

See WHY scores happen · fix the root cause

Top complaint themes per week. Staff scorecards. Dish/service-level NPS. Use this to fix what's breaking, not just patch reviews.

  • Top complaint themes (auto-categorized)
  • Per-staff + per-service NPS
  • Pattern detection (recurring issues, slipping ratings)
Real-time analyticsSlack weekly digest
app.mukh.one/feedback-insights
Feedback · April 2026

847 NPS responses · 247 Google reviews

Avg NPS 72
NPS score
72 (Promoter range)
Google reviews
+247 (vs +47 LM)
Avg star rating
4.7 / 5
Issues recovered
94% before public
Insights
🟢 Top theme: "ambiance + food quality" (78% of high scores)
🟡 Recurring issue: delivery time on Friday nights · ops review needed
🔴 Specific dish "lamb biryani" mentioned in 4 of 8 detractor responses · review recipe
✅ Recovered AED 47K in lifetime customer value via complaint resolution this month

Reviews + retention · all in one flow.

Numbers from Mukh.1 feedback customers (F&B, retail, hotels, services).

+3×
Google review volume
Right time + tap link
–67%
Public 1-star reviews
Caught private first
94%
Detractor recovery
Manager-level personal call
+12 NPS
Avg score lift
Process changes from feedback

Connects to your business stack

WhatsApp BusinessInstagramPOS systemsGoogle ReviewsTripadvisorYelpSlackSalesforce

Ready to triple your reviews + retention?

Connect your POS or order system. We'll run the feedback flow for your last 100 customers — free.

Book a real demoSee more demos