Completion-triggered requests
A completed visit, job, or engagement starts the request at a natural moment.
Make customer feedback a dependable part of every completed job. Built specifically for schools, programs, tutors, and training providers, where families and learners need clear answers before they are ready to enroll.
Built around your operation
When a course or program reaches an appropriate milestone, the learner or family is invited to share feedback, with concerns routed privately to the program lead before any public review path.
Happy customers often leave silently unless the request is timely, simple, and connected to the service experience. For schools, programs, tutors, and training providers, families and learners need clear answers before they are ready to enroll. The system should fit that reality—not force the team into a generic funnel.
A completed visit, job, or engagement starts the request at a natural moment.
Customers reach the correct public profile without searching for where to leave feedback.
Concerns open a private recovery path so the team can listen and respond directly.
New feedback is collected into a review queue the team can actually monitor.
We map how schools, programs, tutors, and training providers currently receive, qualify, and follow up with customers.
We configure the reviews workflow, connect the necessary tools, and write the customer-facing experience.
We launch, monitor, and improve the system with your team instead of leaving you with another tool to manage.
No. Pickaxe Pages is a done-for-you agency service. We design, implement, connect, and manage the system around your business.
We adapt intake, language, routing, and follow-up to the real customer journey. Typical scenarios include program inquiries, tour and consultation booking, enrollment follow-up.
No. The system handles repetitive response and coordination while routing high-value, sensitive, or unusual conversations to the right person.
Usually, yes. We review your existing website, phone, calendar, CRM, inboxes, and reporting stack before recommending what stays, connects, or changes.