Review Requests

Every completed job. The right review request — sent automatically.

Most service businesses ask for reviews inconsistently — after some jobs but not others, from some customers but not all, at whatever time the technician happens to remember. HieCOR automates the entire review request workflow — triggered at job completion, filtered to exclude complaint-risk customers, timed by AI for maximum response, and sent by the channel that actually gets replies.

See a 30-minute demo Explore the platform ↓

No commitment required · US-based implementation team

Auto

review request triggered at every qualifying job completion

complaint-risk customers excluded before any request sends

Smart

only satisfied customers receive the review request

unresolved tickets, disputes, and complaints filtered out

Optimal

AI-timed request per job type and customer segment

48 hours post-delivery, same day post-repair — from real data

3–5x

higher SMS response rate vs email for review requests

personalized message with customer name, tech name, and job

Review Request Lifecycle

From completed job to posted review — one connected review generation workflow.

Review requests fail when they go to the wrong customers, arrive at the wrong time, feel generic, or send replies into a dead inbox. HieCOR connects every step from job completion through performance tracking in one automated review generation platform.

app.hiecor.com / pos / order-complete

1Complete

Every completed job triggers the review workflow — automatically.

The moment a service ticket is closed, a delivery is confirmed, or a job is marked complete in HieCOR, the review request workflow begins. HieCOR checks whether the customer had any unresolved complaints, open issues, or active disputes — and if not, schedules the review request at the AI-optimized timing. No one on your team has to remember to send it.

AutoReview request workflow triggered at every job completionService close or delivery confirmation starts the review workflow — complaint-risk customers excluded automatically before any request is sent.

✓Review request triggered at every service or delivery completion
✓Complaint-risk customers excluded before the request fires
✓AI timing optimization based on job type and customer history
✓No manual action required from your team

See it in action Explore Work Orders →

app.hiecor.com / service / field-evaluation

2Qualify

Filter out the customers who should not receive a review request — before it sends.

HieCOR checks every completed job against your qualification rules before sending a review request. Customers with an unresolved service ticket, an open dispute, a complaint in their recent message history, or a partial payment are excluded automatically. Only customers with a fully confirmed positive completion receive the request — protecting your rating from complaints that should have been resolved first.

SmartOnly satisfied customers receive a review requestUnresolved tickets, open disputes, complaint history, and partial payments all checked automatically — only clean completions proceed.

✓Unresolved service tickets excluded automatically
✓Open disputes and complaint history checked before sending
✓Partial payment customers held from review requests
✓Only confirmed positive completions receive the request

See it in action Explore Scheduling & Dispatch →

app.hiecor.com / service / SRV-9942

$HieCOR Time screen$

3Time

Send the request when the customer is most likely to respond — not just immediately.

Morgan AI analyzes your historical review response data by job type, customer segment, time of day, and day of the week — and sends the review request at the timing that generates the most responses. A 48-hour wait after a furniture delivery. A same-day request after a washer repair. A morning send for commercial accounts. The timing is optimized per customer type, not one-size-fits-all.

OptimalAI-optimized send timing per job type and customer segment48 hours after delivery, same day after repair, morning for commercial — timing optimized from historical response data per customer type.

✓AI-optimized timing based on historical response data
✓Different timing per job type — repair, delivery, installation
✓Time of day optimization for maximum response rate
✓Timing rules configurable and overridable by your team

See it in action Meet Morgan, your Growth AI →

app.hiecor.com / messaging / active-chats

4Send

Send the review request by text — the channel with the highest response rate.

Review requests go out by SMS with a direct link to leave a review on Google, Yelp, or your preferred platform. The message is personalized with the customer's name, the technician's name, and the specific job completed — so it reads like a personal message from your business, not a bulk review blast. Every request is logged on the customer record.

3–5xHigher response rate for SMS review requests vs emailSMS with personalized message — customer name, technician name, and job type — reads as personal outreach, not a bulk campaign.

✓SMS review request with direct link to Google or Yelp
✓Personalized with customer name, technician name, and job type
✓Email option available for customers without SMS opt-in
✓Every request logged on the customer CRM record automatically

See it in action Explore 2-Way Text Messaging →

app.hiecor.com / messaging / active-chats

5Respond

Customer replies connect directly to your team — with full job context.

When a customer responds to a review request — whether with a positive message, a question, or a concern — the reply arrives in the HieCOR 2-way inbox with their full service record, job details, and the original review request already visible. Taylor AI routes complaint-adjacent replies to the service manager before they become a public negative review. Positive replies are logged on the customer record.

1 inboxEvery review request reply routed with full job contextPositive replies logged. Complaint-adjacent replies flagged and routed to the service manager — before they become a public negative review.

✓All review request replies in the 2-way inbox
✓Taylor AI flags complaint-adjacent replies for service manager review
✓Positive reply logged on customer record and flagged for sharing
✓Full job context visible with every reply

See it in action Meet Taylor, your Support AI →

app.hiecor.com / service / field-evaluation

6Track

See your review request performance — and improve it over time.

HieCOR tracks every review request — sent, opened, clicked, and converted to a review — per job type, technician, and customer segment. Morgan AI surfaces the technicians with the highest review conversion, the job types that generate the most responses, and the customers who received a request but did not respond. Review performance improves every cycle.

AlwaysReview request performance tracked and improved over timeSent, opened, clicked, and converted tracked per technician, job type, and customer segment — Morgan AI surfaces improvement opportunities.

✓Request sent, opened, clicked, and converted tracked
✓Performance by technician, job type, and customer segment
✓Unresponded requests surfaced for manual follow-up
✓Morgan AI surfaces timing and message optimization opportunities

See it in action Explore Reporting & Analytics →

Core Capabilities

Built for service businesses that want more reviews without asking every customer manually.

HieCOR connects job completion triggers, complaint-risk qualification, AI timing optimization, personalized SMS delivery, reply routing, and performance tracking in one review generation operating system.

⚡

Job completion trigger

Every service close, delivery confirmation, and installation completion triggers the review workflow automatically. No manual action needed from your team.

Service close triggerDelivery confirmation triggerInstallation completion triggerZero manual action required

🛡️

Complaint-risk qualification

HieCOR checks every completed job for unresolved tickets, open disputes, complaint history, and partial payments before sending. Only clean completions proceed.

Unresolved ticket checkOpen dispute checkComplaint history filterPartial payment exclusion

⏱️

AI-optimized timing

Morgan AI optimizes send timing per job type and customer segment based on your historical response data. The request goes out when that customer type is most likely to respond.

Per-job-type timing optimizationCustomer segment analysisTime of day optimizationConfigurable timing overrides

💬

Personalized SMS delivery

Review requests go out by SMS with the customer name, technician name, and job type in the message. Direct link to Google, Yelp, or your preferred review platform.

SMS with personalized contextCustomer and technician name includedDirect link to review platformEmail fallback for non-SMS customers

📥

Reply routing

All review request replies arrive in the 2-way inbox. Taylor AI flags complaint-adjacent replies for service manager review before they become a public negative review.

2-way inbox for all repliesTaylor AI complaint-risk routingPositive reply logged on customer recordService manager alert for risk replies

📊

Performance tracking

Sent, opened, clicked, and converted tracked per technician, job type, and customer segment. Morgan AI surfaces improvement opportunities every cycle.

Request conversion trackingPerformance by technicianJob type response rate analysisAI improvement recommendations

AI Employees

AI working your review program every day.

HieCOR AI Employees qualify completions, time requests, route replies, and improve your review generation performance — without adding manual work for your team.

Morgan

Revenue Growth & Marketing AI

📣

→Analyzes historical review response data by job type, customer segment, and send timing — and optimizes the send window for each category to maximize response rate
→Surfaces customers who received a review request but did not respond — ranked by job value and customer relationship strength — for manual follow-up outreach
→Identifies technicians with the highest review conversion rates and surfaces the message and timing patterns that make their reviews convert — so your whole team can replicate it

Meet Morgan →

Taylor

Customer Support AI

💬

→Monitors all review request replies in real time and flags any response that contains a complaint, dissatisfaction, or negative sentiment before it reaches the review platform
→Routes complaint-adjacent replies to the service manager with the full job record, customer history, and reply context loaded — giving the team a chance to resolve before a public review is posted
→Drafts a response to review request replies that contain questions or service inquiries — with the job context pre-attached so the customer gets an immediate, informed answer

Meet Taylor →

Mark

Service Technician AI

🔧

→Reviews completed work orders and flags jobs where the technician noted a customer concern, a deferred repair, or a dissatisfied comment — excludes them from the review request queue before sending
→Identifies technicians whose work order documentation consistently generates positive customer replies — surfaces their approach as a model for the service team
→Flags jobs where the diagnostic checklist identified a caution item that was deferred at customer request — surfaces these for a follow-up service conversation before a review request is sent

Meet Mark →

Jordan

Delivery & Field Operations AI

🚚

→Monitors delivery completion confirmations and flags deliveries where the driver noted a damage, access issue, or customer complaint — excludes them from the review request queue
→Surfaces delivery routes with consistently high review conversion rates — identifies the timing, technician, and route characteristics that drive positive reviews
→Flags deliveries that were completed late, rescheduled, or required a second attempt — holds them from the review request queue pending a service manager review

Meet Jordan →

Why HieCOR

What changes when review requests are automated, qualified, and timed correctly.

The operational gaps most field service businesses live with every day — and what HieCOR does differently.

Situation	Without HieCOR	With HieCOR
Asking for reviews after every job	✗Technician sometimes remembers to ask verbally at the door. Customer says "sure" and forgets. No text sent. No review posted.	✓Review request sent automatically by SMS at AI-optimized timing — every qualifying completion, every time, without the technician having to ask
Sending review requests to unhappy customers	✗No filter — everyone gets the request. An unhappy customer gets the message, clicks through, and leaves a 1-star review about the problem that should have been resolved first.	✓Complaint-risk qualification checks every completion — unresolved tickets, open disputes, and complaint history excluded before the request fires
Review request response rate	✗Generic "please leave us a review" text sent to everyone at 9am regardless of job type, customer, or completion time	✓AI-optimized timing per job type — 48 hours after furniture delivery, same-day after repair — personalized with customer and technician name
Customer replies to the review request with a complaint	✗Reply goes to a general inbox with no context. Nobody responds. Customer posts the complaint as a public review.	✓Taylor AI flags the complaint-adjacent reply, routes to service manager with full job context — team resolves before the customer posts publicly
Knowing which technicians drive the most reviews	✗No visibility — review volume is tracked on Google but not connected to specific jobs or technicians	✓Review conversion tracked per technician, job type, and customer segment — Morgan AI surfaces the patterns that drive the highest response rates
Following up with customers who did not respond	✗Nobody follows up — the window closes and the opportunity is lost	✓Unresponded requests surfaced by Morgan AI for manual follow-up — ranked by job value and relationship strength

Use Cases

Built for every type of field service review generation.

HieCOR Review Requests works for appliance repair, HVAC service, plumbing, electrical, garage door, furniture delivery, and any service business that completes jobs at customer sites.

Appliance repair

Consistent review generation after every repair

Your 6 appliance repair technicians complete an average of 8 jobs per day. HieCOR triggers a review request for every qualifying completion — checking for unresolved tickets and complaint history first. Each customer receives a personalized SMS with their technician's name and the specific appliance repaired. Response rate is 4x what you were getting from a manual "please review us" text.

Review request sent for every qualifying repair completion
Personalized with technician name and appliance type
4x response rate vs generic manual outreach

HVAC installation

Post-installation review with AI timing

HVAC installation customers are most likely to respond to a review request 48–72 hours after installation — enough time to feel the result but close enough to remember the experience. Morgan AI identified this pattern from your historical data and set the optimal timing automatically. Complaint-risk customers who had a challenging install day are excluded before the request fires.

48–72 hour timing optimized from historical response data
Difficult installation days excluded from the review queue
Installation type and technician name personalized in the message

Multi-technician operation

Review generation connected to technician performance

You have 12 technicians with widely different review conversion rates. HieCOR shows you which technicians have the highest review response rate, which job types generate the most reviews, and which send timings perform best for your customer base. Morgan AI surfaces the patterns from your top performers so you can apply them across the team.

Review conversion tracked per technician
Job type response rate visible by category
Top performer patterns surfaced for team replication

FAQ

Questions buyers usually ask first.

Everything buyers ask before deciding whether HieCOR is the right platform.

AwarenessDoes HieCOR automatically exclude unhappy customers from review requests?

Yes. HieCOR checks every completed job for unresolved service tickets, open disputes, complaint history in the customer's recent message thread, and partial payment status before sending a review request. Only customers with a confirmed positive completion receive the request.

AwarenessCan review requests be sent by SMS?

Yes. HieCOR sends review requests by SMS with a direct link to Google, Yelp, or your preferred review platform. The message is personalized with the customer's name, the technician's name, and the specific job type. Email is available as a fallback for customers without SMS opt-in.

AwarenessHow does HieCOR optimize the timing of review requests?

Morgan AI analyzes your historical review response data by job type, customer segment, time of day, and day of the week — and sends each review request at the timing that has historically generated the most responses for that customer type. The timing is different for a furniture delivery than for a washer repair.

EvaluationWhat happens when a customer replies to the review request with a complaint?

Taylor AI monitors all review request replies in real time. If a reply contains a complaint, dissatisfaction, or negative sentiment, it is immediately flagged and routed to the service manager with the full job record and customer history loaded — giving your team a chance to resolve the issue before the customer posts a public negative review.

EvaluationCan HieCOR track which review requests convert to actual reviews?

Yes. HieCOR tracks the full review request funnel — sent, opened, link clicked, and converted to a posted review — per technician, job type, and customer segment. Morgan AI surfaces the patterns that drive the highest conversion rates and the opportunities to improve underperforming segments.

EvaluationCan I see which technicians are generating the most reviews?

Yes. Review request performance is tracked per technician — conversion rate, response rate, and review volume. Morgan AI surfaces the message, timing, and approach patterns from your top-performing technicians so you can apply them across the team.

DecisionHow is HieCOR Review Requests priced?

HieCOR Review Requests is included as part of the broader HieCOR service platform. Message volume and the number of configured review workflows are factored into overall platform pricing. Pricing is discussed during the demo.

DecisionWhat does implementation look like for review requests?

HieCOR's US-based implementation team handles trigger event setup, complaint-risk qualification rules, review platform link configuration, SMS template creation, reply routing configuration, and performance dashboard setup. Most businesses are live within 45 days.