Before going live with Vervoe, there are a few actions or considerations that you and your team should make.
We have outlined them below to assist with a smooth implementation.
1. Assessment Preparation
- Assessment Created and Approved: Ensure assessments are designed and approved to test job-specific responsibilities and tasks.
- Baseline data and metrics reviews and set: Review current recruitment process, time spent in each stage, attrition metrics, candidate experience, and quality of hire data to measure improvement after implementing Vervoe. Additional information here.
- Deadline Set: Set an appropriate deadline for candidates to complete the assessment.
- Internal Discussion on Extension Requests: Finalise and document the process for handling requests to extend assessment deadlines.
2. Recruitment Process Adjustments
- Process Re-Evaluation: Confirm which stages of the recruitment process the assessment will replace (e.g., phone screens, initial interviews).
- Interview Structure Revised: Update interview focus to cultural alignment and motivational fit, as job capability is now assessed through Vervoe.
3. Candidate Communication Updates
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Job Adverts Updated: Revise job advertisements to include:
- Information about the assessment in the recruitment process.
- Benefits of the assessment for candidates (e.g., showcasing their skills directly).
- Go-Live Article for more details.
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Candidate Emails Updated in Vervoe: Revise and test:
- Invite emails with clear instructions on completing the assessment.
- Reminder email communication updated.
4. Candidate Experience Testing
- End-to-End Testing: Simulate the full candidate experience, from receiving the invite email to completing the assessment and reviewing results.
5. Go-Live
- Go-Live Announcement: Notify stakeholders and team members of the go-live date.
- Invite Candidates: Launch the assessment by inviting candidates to complete.
6. Post-Go-Live Optimisation
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Conduct Assessment and Machine Learning Optimisation:
- Talent Acquisition Teams or internal stakeholder groups to conduct machine learning optimisation and training of the results.
- Use live candidate results to refine machine learning algorithms and scoring accuracy.
- Review this video to assist in optimisation.