Shift Feedback asks employees for a quick rating right after they check out, tied to that shift and attendance record — 1–5 stars, an optional tag like 'understaffed' or 'good team', and a comment, not a generic survey dropped into their inbox. Anonymous submissions are supported and stay anonymous everywhere they're viewed, including by admins and by Ask AI.

Every submission notifies managers right away, with a separate alert when the rating is low, so a bad shift doesn't sit unnoticed. On the dashboard, eight weeks of ratings are tracked for declining trends and rising negative tags, surfaced the moment a manager checks in instead of waiting on a manual report.

Ask AI can summarize those trends, pull up one submission, or list an employee's own feedback history in plain English, so reviewing sentiment doesn't mean building a report first. Every rating feeds Mango Signal, MangoApps' cross-app workforce sentiment layer.

See how Shift Feedback collects a quick post-shift rating tied to the actual shift and attendance record, alerts managers when a rating is low, and tracks eight weeks of sentiment trends and rising negative tags on the dashboard.

Scheduling

Highlights

Capture how every shift really went with a quick 1-to-5 rating, a tag, and an optional comment.

Prompt employees automatically after checkout, with reminders for shifts they haven't rated yet.

Let people speak up anonymously so you hear the honest signal, not just the safe one.

Ask AI for feedback trends, low-rating hot spots, and your own history in plain English.

Catch problems early with trend alerts on the dashboard when ratings decline or negative tags spike.

Give managers a filterable dashboard and CSV export to act on shift sentiment by team, location, and date.

Capabilities

Feedback Collection

Post-shift rating on a 1–5 star scale
Optional written comment with each submission
Predefined and employee-added tags on each submission
Anonymous submission option (admin-controlled)
Feedback window opens automatically after checkout
Ad-hoc / unscheduled shift feedback (off by default)
Early-checkout feedback (off by default)
Automatic reminders to employees with unrated shifts
Edit a submission within 24 hours
One submission per shift (duplicate guard)

AI Insights & Trends

Ask AI agent: feedback trends & statistics in chat
Agent filters by period, rating range, and tag
Personal feedback-history query via Ask AI
8-week rating-trend analysis with decline detection
Rating-decline and low-rating trend alerts on the dashboard
Rising negative-tag detection with recommendations
Admin toggle to disable the AI agent per business

Manager Review & Alerts

All-feedback dashboard with rating / location / date filters
Drill into an individual feedback detail view
Related feedback from the same shift shown alongside
Real-time low-rating alerts to managers
New-feedback notifications to managers
Location- and reporting-chain-scoped visibility

Tags & Configuration

9 built-in shift-experience tags
Enable / disable the tag feature per business
Employee-added custom tags (admin-enabled, max 50 chars)
Require-rating toggle for submissions
Configurable low-rating alert threshold

Reporting, Export & Access

Summary stats: total, average rating, high/low counts
30-day response rate against completed shifts
Unique employee contributor count
CSV export (admin-gated)
Web and mobile-web submission
REST API: submit, list, update, and list eligible shifts

Limits & Specs

Rating scale: 1–5 stars
Eligible shifts per employee: 3 by default (admin-selectable: 1, 2, 3, 5, or 10)
Feedback window: 1 week default (admin-selectable: 24 hours – 2 weeks)
Built-in feedback tags: 9 (busy, calm, stressful, understaffed, well_managed, equipment_issues, technical_problems, good_team, difficult_customers)
Low-rating alert threshold: 2 stars by default (admin-selectable: 1–3)
Reminder frequency: Every 24, 48, or 72 hours
Submission edit window: 24 hours after submitting (API)
Pricing: License required (per-tenant opt-in)

Screenshots

All-feedback dashboard — recent shift feedback with sentiment, tags, and trend sparkline

Shift feedback trend — chart of sentiment over time with tag breakdown

Manage shift feedback tags — sentiment categories and admin-defined topic tags

Use cases

Post-shift check-in

After checking out, employees submit a quick rating, a tag, and an optional comment — prompted automatically, with a reminder if they haven't yet.

Catch a bad trend early

Trend alerts on the dashboard flag when average ratings decline for several weeks or a negative tag like 'understaffed' starts spiking, so you act before it becomes turnover.

Find the shifts that need attention

Managers filter the dashboard by low ratings, location, and date to pinpoint the shifts or sites with recurring problems.

Understand the why behind ratings

Tags categorize each shift (busy, stressful, equipment issues, good team) so you can see which themes are driving sentiment, not just the score.

Ask AI for the summary

Instead of building a report, ask the Shift Feedback agent for this month's average, rating distribution, and top tags in plain English.

Resources

Shift Feedback Datasheet (PDF)

Datasheet

Features, capabilities, pricing model, and FAQ on one downloadable sheet — share it with your team.

Shifts & Schedules Book

eBook

AI-assisted scheduling for frontline operations — coverage, labor costs, and retention, with a cost model for evaluating scheduling platforms.

FAQ

Employees submit a quick rating, tag, and optional comment right after checking out from a completed shift. Each submission is tied to the shift's attendance record. Admins configure the eligibility window and reminders in Settings.

Employees can submit anonymously when an admin has enabled the option (on by default). Anonymous submissions are never attributed anywhere — not on the dashboard, the detail view, or in Ask AI.

There's no reply thread. Managers act on feedback through real-time low-rating alerts, a filterable dashboard, and trend analysis that flags rating declines and rising negative tags.

Shift Feedback requires a license and is opt-in per tenant — an administrator enables it from the Apps Marketplace, and it's disabled by default until then.

Surveys is for periodic engagement surveys you design and distribute broadly. Shift Feedback is a fixed, quick check-in tied to a specific completed shift and prompted right after checkout — continuous measurement rather than a campaign. Both feed into Mango Signal.