Reviews module overview

Customer ratings, team leaderboard, Google Review integration, statistics

Reviews module

Customer reviews are the foundation of salon reputation. The module focuses on review management, Google Review system, and team leaderboard.

Where to find it

/manager/reviews. Sidebar Reviews menu.

What it contains

Statistics dashboard

  • Average rating (1-5 stars)
  • Rating distribution (how many 5★, 4★, 3★, 2★, 1★)
  • Pending count (awaiting approval)
  • Approved / Rejected / Flagged
  • Awaiting Google confirmations

Review list

Each review on a row:

  • Customer name + booking
  • Star rating
  • Comment preview
  • Status (PENDING / APPROVED / REJECTED / FLAGGED)
  • Date
  • Actions (Approve / Reject / Reply / Flag)

Team leaderboard

Top-rated staff:

  • Name + avatar
  • Average rating
  • Review count
  • Badge (Excellent / Experienced / Perfect)

Review flow

  1. Booking completion (status COMPLETED)
  2. Bookinda sends review-request email to customer (1-3 days later, automation)
  3. Customer rates (1-5 stars + comment)
  4. Salon (you) approves / rejects / flags
  5. Approved reviews:
    • May appear on public mini-website
    • Count in staff average rating
    • Count on team leaderboard

Review statuses

PENDING

New review, awaiting approval. Default status.

APPROVED

You approved. Appears on public surfaces (mini-website, staff profile).

REJECTED

Rejected. Not visible anywhere, stays in audit trail.

FLAGGED

Marked (e.g., inappropriate content, or dispute-worthy). Awaiting investigation.

Customer replies

Salon can respond to a review:

  • Reply button on review
  • Text field
  • Save → reply is public (under the review)

Builds customer trust: salon engages with feedback.

Test review link

Top of module Test Review Link button:

  • Generates 24-hour link
  • Open, try review flow
  • Useful for demo or debugging

When to use it

Scenario 1, weekly review approval Monday morning: Pending tab → 5 new reviews. All 4-5 stars → Approve all. One Reply: "Thanks for the kind words!"

Scenario 2, negative review 1-star review: "Stylist was 30 min late." Don't delete (audit + transparency), Reply: "Sorry, we're sending compensation by email." → customer satisfaction recovery.

Scenario 3, team mentor Team leaderboard. Anna 4.9★, 87 reviews → Excellent badge. Béla 3.8★, 12 reviews → coaching needed. Mentor meeting.

Scenario 4, fake review Competitor leaves malicious 1-star. Flag → investigate → Reject. Customer doesn't exist in your booking history.

Scenario 5, Google Review conversion Approved 5★ review → customer gets email "Please post on Google too" + €5 voucher. (Details: Google Review integration)

Public appearance

Approved reviews appear on:

  • Mini-website (Reviews tab on public salon page)
  • Staff profile (on stylist subpage)
  • Online booking (if enabled)

Customer name and booking date typically hidden (only rating and comment).

Tips

  • Weekly review approval is 10-15 minute routine, don't let pile up.
  • DON'T delete negative reviews, reply instead. Unanswered 1★ is worse than replied.
  • Reply tone professional, not snippy or defensive.
  • Team leaderboard motivates, show at team meeting.
  • Test review link is for demo, don't send to real customers.
  • Fake reviews handled with flag + Reject, documented.

Related articles

#reviews#overview#rating#leaderboard
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