Standardize evaluation
Apply published scorecards, weighted criteria, sampling policy, and evidence to customer interactions.
Platform · Workforce and quality
Connect service performance to review and coaching action
Bring schedule, adherence, evaluation, calibration, dispute, coaching, and supervisor workflows into the same governed operating context as customer work.
Workforce and quality operating journey
- 01
Select
Policy and risk signals identify the work that requires review.
- 02
Evaluate
A reviewer applies the rubric with evidence and accountable judgment.
- 03
Improve
Coaching and operational action remain linked to the finding.
For 01
Operations leaders
For 02
Quality leaders
For 03
Workforce teams
Where it fits
Own a clear part of the customer journey.
Connect this responsibility to the customer context, work, knowledge, policy, and evidence shared across OCXCenter.
Focus human review
Use risk, confidence, and operational signals to prioritize work while retaining accountable judgment.
Close the coaching loop
Turn findings into owned coaching, acknowledgement, calibration, dispute, and follow-through.
- More consistent and explainable quality decisions
- Review effort directed toward meaningful risk and opportunity
- Clear follow-through from finding to coaching action
Product evidence
See the operating moment—not another feature wall.
Review where context, action, ownership, and control meet during the work.
Human review, structured scorecards, AI evidence, and coaching follow-through.
- 01
Review population
Evaluations are prioritized with confidence and status context.
- 02
Defensible rubric
Weighted criteria keep evaluation logic visible to reviewers.
- 03
Human decision
AI scores support rather than replace the accountable reviewer.
- 04
Coaching action
Evaluation findings can become owned coaching work.
Operating capability
Everything needed to move this responsibility forward.
Capabilities connect to the same customer journey rather than operating as isolated add-ons.
- 01Structured evaluation
- Published scorecards and weighted criteria make review logic explicit.
- 02Human-accountable AI
- Confidence and evidence support the reviewer without replacing the final decision.
- 03Calibration and dispute
- Exceptions, reviewer agreement, and contested results follow governed workflows.
- 04Coaching follow-through
- Findings become owned plans, tasks, acknowledgements, and reviewable progress.
How work moves
Follow the work from entry to accountable outcome.
Every stage has a clear owner, transition, and retained evidence.
- 01
Select
Policy and risk signals identify the work that requires review.
- 02
Evaluate
A reviewer applies the rubric with evidence and accountable judgment.
- 03
Improve
Coaching and operational action remain linked to the finding.
Move quality from isolated scoring into a defensible improvement loop connected to real service outcomes.
Role-specific workflows
Give each team the workflow it actually operates.
Keep responsibilities clear while the customer journey remains connected.
Operations leaders
01Select
Policy and risk signals identify the work that requires review.
- 1Select
- 2Evaluate
- 3Improve
Quality leaders
02Evaluate
A reviewer applies the rubric with evidence and accountable judgment.
- 1Select
- 2Evaluate
- 3Improve
Workforce teams
03Improve
Coaching and operational action remain linked to the finding.
- 1Select
- 2Evaluate
- 3Improve
Adoption path
Start with one workflow. Expand without fragmenting the experience.
Sequence configuration, integration, testing, and rollout around measurable service outcomes.
- 01
Define policy
Agree populations, scorecards, reviewer roles, evidence, privacy, disputes, and coaching expectations.
- 02
Connect the evidence
Authorize interaction metadata, transcripts, recordings, outcomes, schedules, and relevant customer context.
- 03
Calibrate and expand
Run human calibration, review AI-supported decisions, confirm access, and phase coverage by risk.
Evaluation questions
Resolve these before rollout.
- 01Which interactions are eligible for review and which evidence may each reviewer access?
- 02How are scorecards versioned, calibrated, disputed, and connected to coaching?
- 03Where may AI support selection or scoring, and who remains accountable for the decision?
Enterprise integration and governance
Define authority, dependencies, and controls before launch.
Review integration boundaries and governance controls together so deployment assumptions remain explicit.
Integration boundaries
- Recording access is provider- and policy-gated
- Workforce source systems remain deployment-specific
- AI evaluation requires approved providers
Governance controls
- Private scorecards
- Calibration history
- Dispute workflow
- Short-lived recording access
Connected product family
Continue the customer journey.
Evaluate it as one system