360-Degree Feedback Questionnaire: Examples, Template and Process [2026]
A 360-degree feedback questionnaire you can use as-is: 10 example questions, a free template, rater selection, anonymity thresholds and AI-assisted analysis.
The flexible feedback tool that adapts to your use case. 360-degree reviews, peer evaluations, supplier assessments, customer feedback, project retrospectives, or any custom evaluation. Configure your own questions, assign evaluators, choose anonymity settings, and let AI synthesize all perspectives into actionable insights.
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This is what your result could look like
See how it looksMulti-perspective feedback collects evaluations from multiple sources about a single subject: a person, team, project, supplier, or service. Instead of relying on one viewpoint, you combine perspectives from different stakeholders to get the full picture. This approach eliminates single-source bias and reveals blind spots that any single evaluator would miss.
Common use cases include 360-degree employee reviews (self + manager + peers + direct reports), peer feedback surveys, supplier performance evaluations, customer satisfaction assessments, project retrospectives, and event feedback from multiple stakeholder groups. Our tool is fully configurable: define your own question sections, assign evaluators by role, toggle anonymity per group, and let AI synthesize all perspectives into a unified report with patterns and recommendations.
Start using this template for free360-degree employee reviews, peer feedback, supplier evaluations, customer surveys, project retrospectives, event assessments, or any custom evaluation. Configure your own questions, evaluator groups, and anonymity settings instead of using a different tool for each use case.
Multi-source feedback is 2x more predictive of actual performance than single-source evaluations.
AI does not just average scores. It compares perspectives to find where evaluator groups agree and disagree, identifies patterns across evaluations, and generates a unified narrative with specific recommendations. The gap between perspectives is often the most valuable insight.
AI cross-perspective analysis reveals insights invisible when reading individual evaluations separately.
Choose anonymity settings per evaluator group. Manager feedback can be attributed (single source) while peer and direct report feedback stays anonymous (minimum 3 per group). Customer and supplier feedback can be either. You control the trust and transparency balance.
Anonymous multi-source feedback produces 40% more actionable insights than attributed single-source evaluations.
This tool is fully configurable. Below are example use cases with typical question dimensions. You can create any combination of LIKERT-scale and open-text questions, assign evaluator groups, and toggle anonymity per group.
360-Degree Employee Review: leadership, communication, teamwork, problem-solving, accountability.
Evaluated by self, manager, peers, and direct reports. Full multi-perspective view of competencies. AI compares the self-other gap to reveal blind spots. Use our dedicated 360 template or build your own.
Peer Feedback Survey: collaboration quality, reliability, communication, knowledge sharing.
Colleagues evaluate each other on specific collaboration dimensions. Anonymous by default. AI identifies collaboration strengths and friction points across team pairs. Great for agile teams doing sprint retrospectives.
Supplier Performance Evaluation: delivery quality, timeliness, communication, value for money, flexibility.
Multiple internal stakeholders who work with the supplier rate their experience independently. AI aggregates all perspectives to show where the supplier excels and where SLAs need attention. Track supplier performance over time.
Customer Feedback: product quality, service responsiveness, value perception, recommendation likelihood.
Collect structured customer feedback from multiple touchpoints. Different customer segments may have different experiences. AI detects segment-specific patterns and compares feedback from key accounts vs. regular customers.
Project Retrospective: process quality, communication, deliverables, timeline adherence, team collaboration.
All project stakeholders (team members, project manager, client, sponsor) evaluate the project from their perspective. AI shows where perspectives align and where different roles had different experiences. Essential for continuous project improvement.
Create your question sections (LIKERT and/or open-text). Assign evaluator groups (e.g., self, manager, peers, clients). Set anonymity preferences per group. The tool adapts to any evaluation type.
Each evaluator completes the questionnaire from their perspective. Different groups can see different questions if needed. Allow 1-3 weeks for completion depending on the number of evaluators.
AI compares responses across evaluator groups. It identifies: confirmed strengths (all groups agree), confirmed issues (all groups agree), blind spots (self-rating differs from others), and perspective gaps (different groups have different experiences). More insightful than reading individual responses.
AI generates a single unified report per evaluation subject that synthesizes all perspectives into a narrative with specific recommendations. For recurring evaluations (suppliers, team reviews), AI tracks improvement over time.
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Teamo AI does not just average scores from different evaluator groups. It performs cross-perspective pattern analysis: finding where groups agree, where they diverge, and what the gaps mean. The synthesis is more valuable than reading any individual perspective alone.
Choose a use case (360 review, peer feedback, supplier evaluation, customer survey, project retro) or build your own from scratch. Define question sections, evaluator groups, and anonymity settings.
Assign evaluators to groups (self, manager, peers, clients, etc.). Each evaluator receives a personalized link to their questionnaire. GDPR-compliant with flexible anonymity per group.
AI compares all perspectives and generates a unified report per evaluation subject with cross-perspective analysis, pattern detection, and actionable recommendations.
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