Staffing & Recruitment
Reduce candidate drop-out and improve placement quality with real-time feedback
Automatically measure candidate and client satisfaction after every placement or assignment. No manual work, direct insights per consultant.
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Average impact at staffing agencies after 3 months
−35%
candidate drop-out
Average after 3 months of active check-in measurement
+15
NPS increase
Average NPS improvement among clients
42%
response rate
When sending within 24h of placement or check-in moment
4h
saved per week
Per consultant through automated follow-up
What is feedback measurement for staffing agencies?
Feedback measurement for staffing agencies is the structural tracking of candidate and client experience at critical moments: after intake, after 14 days of placement and at contract end. This reduces candidate drop-out, increases NPS and demonstrably improves placement results.
The staffing market is competitive. Candidates have choices, clients compare agencies on service and results. Yet most staffing agencies still measure satisfaction ad hoc: a phone call here, an annual survey there. The result is a distorted picture and missed signals.
Feedback Analytics enables continuous measurement. After an intake, after the first two weeks, after a placement or at contract end: automatically the right question at the right moment. NPS scores are tracked in real time per consultant, branch and region.
Staffing agencies that structurally measure client satisfaction see on average 35% less early candidate attrition and a significantly higher contract renewal rate among clients. Recruitment is built on trust, and trust is built by listening and acting.
Recognisable challenges in the staffing industry
Candidates drop out during the placement process and you don't know why.
Clients switch to a competitor without any prior signal of dissatisfaction.
Consultants have no time for structured check-ins alongside their daily work.
Feedback data lives in consultants' heads, not in a system.
You don't know which consultants or branches achieve the highest client satisfaction.
NPS measurements are done annually instead of continuously, so you are always catching up.
Built specifically for staffing and recruitment agencies
6 ways staffing agencies use Feedback Analytics
From check-in after placement to exit feedback on early termination: every feedback flow is designed for the specific challenges of recruitment.
Survey after 2 weeks of placement
Automatic check-in 14 days after start. Measure whether the candidate is settling in well with the client and flag drop-out risks before it is too late.
Evaluation at end of assignment
Automatically send a closing evaluation when a contract ends. Find out if renewal is possible, what can be improved and whether the candidate remains available.
NPS with clients
Measure client satisfaction after each placement and every quarter. Identify accounts showing churn signals before they move to a competitor.
Exit feedback on early termination
Send a structured exit questionnaire immediately on early departure. Understand the real reason and prevent recurrence in future placements.
Account manager alerts on low score
When NPS ≤ 6 the responsible account manager receives an immediate alert. Proactive contact within 24 hours prevents escalation and loss of the relationship.
Insights per consultant
Compare NPS scores and drop-out rates per consultant, branch or region. Use the data for targeted coaching and recognition of top performers.
How it works
Feedback process for recruitment
From placement to insight: fully automatic. Consultants only receive signals that require action.
- 1
Candidate placed
The placement is registered in your ATS. Feedback Analytics automatically receives placement data via the datatable connection or API.
- 2
Automatic survey after 14 days
Two weeks after the start date the candidate receives a short check-in questionnaire: mobile-optimised, personalised, in your brand identity.
- 3
Low score → consultant alert
At an NPS score of 6 or lower the responsible consultant receives an immediate notification. Proactive contact prevents early drop-out.
- 4
Insight per consultant and client
All feedback data is tracked in real time per consultant, branch and client. Steer based on data, not gut feeling.
Practical scenario
How a regional staffing agency reduced candidate drop-out from 24% to 13%
Challenge
A staffing agency with 8 branches found that 24% of candidates dropped out within 6 weeks. Consultants had no time for weekly check-ins and problems only became visible when it was already too late.
Approach
After implementing Feedback Analytics, check-in questionnaires were automatically sent on day 3 and week 2 of every placement. When a score was ≤ 6 the consultant received an immediate alert and made contact within 24 hours.
Result
The drop-out rate fell from 24% to 13% within 3 months. Client NPS rose from +22 to +41. Consultants saved an average of 4 hours per week on manual follow-up.
Why staffing agencies choose Feedback Analytics
Less candidate drop-out
Detect dissatisfaction early so you intervene before the candidate walks away.
Higher client satisfaction
Structural measurement shows you take service seriously. Clients appreciate the proactive approach.
Time savings for consultants
Automated flows take over manual work. Consultants focus on relationships, not administration.
Insights per branch and consultant
Compare performance at every level. Steer based on data, not gut feeling.
GDPR compliant
All personal data processed in accordance with GDPR. Consent management and EU servers built in.
Integration with your ATS
Connect to Carerix, Bullhorn, Easyflex or any other system via datatable or API.
ATS integrations
Carerix
Direct connection via datatable or API
Bullhorn
Automatic placement import
Easyflex
Connection via datatable import
ROI calculation: what does feedback measurement deliver?
A realistic example based on average client data. Your situation may differ, but the direction is clear.
| Average active placements per month | 120 |
| Current drop-out rate | 23% (28 candidates/month) |
| Average replacement cost per candidate | €850 |
| Total drop-out cost per month | €23,800 |
| Expected drop-out reduction after feedback measurement | −35% (10 fewer drop-outs/month) |
| Saving per month | €8,500 |
| Feedback Analytics cost | €99/month |
| Net ROI per month | €8,401 |
Payback period: less than 1 day. Annual saving on replacement costs: over €100,000.
Sample questions for staffing agencies
Use these proven questions as a starting point for your feedback flows. Adapt them to your own situation and brand identity.
Candidate experience (after intake)
- 1How satisfied are you with the intake interview? (1-10)
- 2Did you feel heard and understood by the recruiter?
- 3How clearly were the next steps explained?
- 4How likely are you to recommend our agency? (NPS 0-10)
- 5Is there anything we can improve about the intake process?
Check-in after 2 weeks of placement
- 1How is the first period with your new client going? (1-10)
- 2Did the job description match reality?
- 3How were you received by the team at the client?
- 4Are there things you expected but haven't received yet?
- 5Do you need additional support from your consultant?
Client satisfaction
- 1How satisfied are you with the quality of the placed candidate? (1-10)
- 2How quickly did the agency respond to your vacancy?
- 3How well did the candidate match the required profile?
- 4How likely are you to use our agency again? (NPS 0-10)
- 5What can we improve in our service?
End-of-contract evaluation
- 1How do you rate the collaboration overall? (1-10)
- 2Did the candidate meet expectations?
- 3How satisfied are you with the guidance from the consultant?
- 4Are you considering a contract extension or new placement?
- 5What was the most valuable aspect of our collaboration?
Benchmarks for the staffing industry
Compare your own scores with sector averages. This tells you where you stand and where the biggest gains can be made.
Average NPS staffing industry
+28
Top agencies reach +50 or higher through structural feedback measurement.
Average candidate drop-out rate
23%
With check-in feedback this demonstrably drops below 15%.
Average response rate
42%
Feedback questions sent directly after intake or placement, mobile-optimised.
Frequently asked questions
Does Feedback Analytics work with Carerix, Bullhorn and Easyflex?â–¾
Yes. Via our datatable connection you import candidate and client data from any ATS system, including Carerix, Bullhorn, Easyflex and Mysolution. We also offer a REST API for direct integration. After a placement the feedback questionnaire is automatically sent at the moment you specify.
Can we create separate questionnaires for candidates and clients?â–¾
Yes. You create unlimited different questionnaires with your own questions, brand identity and follow-up flows. Candidate experience and client satisfaction are measured completely separately, with their own benchmarks per target group.
How do we ensure candidates actually complete the questionnaire?â–¾
Our questionnaires are short (max. 3-5 questions), mobile-optimised and sent at the right moment. On average our clients see a response rate of 35-60%. Timing is crucial: send the check-in within 24 hours of the relevant moment.
Can we view results per branch and per consultant?â–¾
Yes. You filter results by branch, consultant, period and candidate type. This gives you insight at every level of your organisation and lets you make targeted improvements and coach consultants based on data.
How does Feedback Analytics help reduce candidate drop-out?â–¾
By automatically asking how things are going after 14 days, you detect problems early. A score ≤ 6 immediately triggers an alert to the responsible consultant, who then proactively makes contact within 24 hours. This resolves issues before the candidate decides to leave.
Is Feedback Analytics GDPR compliant for the staffing industry?â–¾
Absolutely. All personal data of candidates and clients is processed in accordance with GDPR. We offer standard consent management, data export and deletion features. Our servers are located in the EU.
Feedback Analytics for other industries
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Feedback Analytics for insurers
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Feedback Analytics for insurance brokers
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Read more
NPS for recruitment agencies explained
What is NPS, how do you measure it and what are good benchmarks for the staffing industry?
Preventing candidate drop-out with feedback
Proven strategies to structurally reduce early attrition.
Measuring client satisfaction among hirers
How to effectively measure client satisfaction and what to do with the data?