CI030
Deploy a tiered, criteria-based screening process so frontline reviewers handle volume and expert capacity is reserved for high-value suggestions.
CyberTRIZ analysis · Process contradiction CI030 · one of 8,235 worked contradictions published by CyberTRIZ.AI
Regulations
Higher Employee Suggestion Volume vs. Manageable Review Capacity
Business Context. Encouraging a high volume of employee suggestions builds a culture of continuous improvement, but reviewing every suggestion thoroughly requires review capacity that grows proportionally with suggestion volume, eventually exceeding available resources.
Process TRIZ Resolution. Rather than reviewing every suggestion with equal depth regardless of volume, organizations should use a tiered review process with quick, criteria-based initial screening handled by trained frontline reviewers, escalating only the most promising suggestions to a smaller expert review panel.
Applicable TRIZ Principles
Principle 1 (Segmentation) separates quick initial screening from deeper expert review of promising suggestions.
Principle 25 (Self-Service) trains frontline reviewers to handle initial screening independently.
Principle 3 (Local Quality) reserves expert review capacity for suggestions that pass initial screening.
Expected Outcome
Sustained high suggestion volume
Manageable review capacity
Faster feedback to employees
Focused expert attention on high-value suggestions
Decision Indicators
Suggestion review backlogs have grown to months of unreviewed submissions.
Employees stop submitting suggestions due to lack of timely feedback.
Every suggestion receives the same review depth regardless of potential.
No tiered review process exists to manage growing suggestion volume.
Review capacity has not scaled alongside a successful suggestion program.
If several of these indicators are present, the contradiction is likely active and the Process TRIZ resolution above should be evaluated.