Feedback Assistant
AI transforms vague, biased feedback into specific, balanced, actionable performance commentary — for reviews, check-ins, and continuous feedback.
Better feedback in seconds, not hours
Managers write what they think. AI makes it more specific, balanced, actionable, and bias-aware.
Specificity Enhancement
AI transforms vague feedback like 'good job on the project' into specific commentary: 'Your stakeholder management on the Q3 migration project was effective — particularly the weekly status updates that reduced escalations by 40%. Building on this, consider documenting your approach as a playbook for the team.'
Bias Detection
AI identifies gendered language, recency bias, halo/horn effects, and attribution errors. Flags potential bias with suggested alternatives — before feedback reaches the employee.
Balance Checking
Ensures every feedback includes both strengths and development areas. AI flags feedback that's exclusively positive or exclusively critical, and suggests balancing content.
The right feedback for every context
Annual & Quarterly Reviews
Comprehensive performance narratives that synthesize the full review period — accomplishments, development areas, goal achievement, and forward-looking objectives. Competency-aligned and calibration-ready.
Check-in Feedback
Lighter-weight feedback for weekly or biweekly check-ins — focused on recent work, immediate priorities, and quick wins. Templates for manager-initiated and employee-initiated check-ins.
Continuous Feedback
Real-time feedback on specific events — project completions, presentations, client interactions, or team contributions. Capture and share feedback while context is fresh.
Feedback that feeds the talent system
Competency Alignment
Feedback automatically maps to your competency framework. When a manager praises 'leadership in the crisis,' AI links it to the specific leadership competency and proficiency level.
360° Consolidation
Consolidate multi-rater feedback from self, manager, peers, and direct reports into coherent themes. AI identifies agreement patterns and blind spots across rater groups.
Development Connection
Development areas identified in feedback automatically suggest learning pathways and coaching plans. Feedback becomes the starting point for growth, not just evaluation.
Before → After: AI Feedback Improvement
Before: 'Sarah is a great team player and always delivers.' → After: 'Sarah's cross-functional collaboration on the compliance audit was outstanding — she proactively coordinated with Legal and Risk, reducing review cycles from 3 weeks to 5 days. To build on this strength, consider leading the Q2 process improvement initiative.'
Frequently Asked Questions
How does WeSoar's feedback assistant work?
Managers write their initial feedback in their own words. AI then enhances it — making it more specific, balanced (strengths + development areas), actionable, bias-aware, and competency-aligned. The manager reviews and approves the enhanced version. AI assists, managers decide.
What types of bias does the feedback assistant detect?
The assistant identifies gendered language, recency bias (overweighting recent events), halo/horn effects (one strength/weakness coloring all ratings), attribution errors (attributing success to circumstances vs skill), and vague language that may mask unconscious bias. Each detection includes a suggested alternative.
Can the feedback assistant handle 360° feedback?
Yes. For multi-rater 360° reviews, the assistant consolidates feedback from self, manager, peers, and direct reports — identifying agreement patterns, blind spots, and theme clusters across rater groups.
Does feedback connect to development planning?
Yes. Development areas identified in feedback automatically map to competencies and suggest relevant learning pathways, coaching plans, and development activities — connecting the performance cycle to the learning cycle.
How does WeSoar's feedback compare to Lattice's feedback features?
While Lattice provides continuous feedback and praise functionality, WeSoar's Feedback Assistant actively improves feedback quality — transforming vague or biased input into specific, balanced, actionable commentary. It also connects feedback directly to competency frameworks, skill profiles, and learning pathways, closing the loop between evaluation and development.
Explore connected features
Ready to transform feedback quality?
See how AI-powered feedback improvement can make every manager a better coach.