Feedback across every audience

CX Hub helps recruitment businesses capture feedback across candidate, client, contractor and employee experience. Teams can run CRM-triggered surveys, scheduled check-ins, anonymous employee feedback, post-event research, placement feedback, client service reviews and one-off insight campaigns from one connected platform.

Two-way Bullhorn integration

Talent Analytics connects with Bullhorn through a two-way API. Teams can use Bullhorn data and activity to trigger feedback, build targeted campaigns and automatically push NPS, sentiment and feedback back into client, candidate and contact records, so feedback becomes part of the CRM record, not a separate dataset.

AI-powered experience intelligence

CX Hub analyses feedback to identify recurring themes, sentiment, service risks, promoter signals and account health trends. Leaders can see what is driving experience across teams, brands, clients and audiences, without manually reading every response or relying only on surface-level scores.

Service recovery and follow-up

Talent Analytics helps teams act quickly when feedback shows a poor experience or relationship risk. Alerts, workflows and follow-up processes help recruiters close the loop, recover issues, protect important relationships and improve service standards before problems become churn, complaints or lost revenue.

Retention, referrals and reputation

CX Hub helps recruitment businesses turn positive experiences into commercial growth. Promoters can be surfaced for reviews, testimonials, referrals and case studies, while client and candidate insight helps protect revenue, strengthen relationships, improve retention and build a stronger reputation in the market.

Embedded CX support

Talent Analytics combines platform technology with embedded customer experience support. We help recruitment teams design feedback journeys, interpret results, improve response processes and build CX into leadership reporting, account management and day-to-day operations, rather than treating feedback as a one-off survey exercise.

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