360 Multi-Rater Feedback: Competencies, Strengths & Development
A structured 360-degree feedback instrument for peers, managers, and cross-functional partners to assess colleague competencies, identify strengths, and surface development priorities. Designed for any team seeking actionable, confidential multi-rater insights.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
Which best describes your current working relationship with this colleague?
- I manage them
- They manage me
- Peer on my team
- Cross-functional partner
- Project collaborator (short-term)
- Other (please specify)
The following questions ask you to rate this colleague on key workplace competencies based on your observations over the last 3 months. Please answer based on what you have personally observed.
Rank the following areas from this colleague's greatest strength (1st) to least strength.
- Communication
- Reliability and execution
- Problem-solving and initiative
- Collaboration
- Adaptability
- Accountability
- Stakeholder management
- Strategic thinking
How would you rate this colleague's overall impact on team outcomes in the last 3 months?
This section uses a 'Start, Stop, Continue' framework. Please share specific, constructive observations.
How likely would you be to choose to work with this colleague again on a future project?
What is your current role level?
- Individual contributor
- People manager
- Executive / senior leader
- Other
Thank you for your feedback. Your insights will directly support your colleague's development and growth. As a reminder, your responses are confidential and will be shared in aggregate only. No individual responses will be attributed to you.
How long have you worked with this colleague?
- Less than 1 month
- 1–3 months
- 3–6 months
- 6–12 months
- 1–2 years
- More than 2 years
Overall, how effective is this colleague in their current role?
Which areas would most benefit from this colleague's development in the next 3–6 months? (Select up to 3)
- Customer understanding
- Analytical skills
- Written communication
- Verbal communication
- Prioritization and focus
- Stakeholder management
- Project execution
- Process improvement
- Leadership and mentoring
- Other (please specify)
Briefly describe a recent example where this colleague made a meaningful impact on the team or business.
What is one thing this colleague should definitely continue doing?
Based on the feedback you've shared throughout this survey, is there anything else you'd like to add about this colleague's strengths, areas for growth, or how they could have an even greater impact?
What is your primary function?
- Product
- Engineering
- Data / Analytics
- Design / UX
- Marketing
- Sales
- Operations / Customer Support
- Finance / Legal / HR
- Other
How often do you currently collaborate with this colleague?
- Daily
- A few times per week
- Weekly
- A few times per month
- Less than monthly
This colleague communicates ideas clearly and effectively.
What is one thing this colleague should start doing to improve?
How long have you been at the company?
- Less than 3 months
- 3–12 months
- 1–2 years
- 3–5 years
- More than 5 years
This colleague delivers high-quality work on time.
What is one thing this colleague should stop doing?
This colleague takes initiative and solves problems proactively.
What support or resources would most help this colleague grow?
This colleague collaborates well across teams and functions.
This colleague adapts quickly to changing priorities or new information.
This colleague gives and receives feedback constructively.
This colleague demonstrates accountability for their commitments and results.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- AI interviews dynamically adapt based on whether respondents are early adopters, skeptics, or non-users—capturing qualitative depth at quantitative scale
- A generous free tier and affordable plans fit university research budgets, unlike enterprise-locked Qualtrics
- Every AI parameter is logged for replication—critical for the peer-reviewed AI adoption research that competitors' tools cannot support
- AI follow-up questions probe beyond surface-level Likert ratings to uncover root causes of disengagement—something no static survey can do
- Full transparency: every prompt, model, and logic flow is visible to HR researchers, unlike competitor 'black box' AI features
SurveyMonkey
AI Readiness Assessment TemplateSurveyMonkey's AI Readiness Assessment is the closest match—evaluating employee AI awareness, training needs, and current tool usage. Solid for organizational readiness but doesn't specifically measure feature-level adoption, trust, or perceived value of AI capabilities.
What it does well
- Covers employee awareness, comfort levels, and perceived impacts of AI
- Includes risk, compliance, and ethical considerations alongside adoption questions
- Fully customizable with branding, and AI-powered analysis suite for open-ended responses
Where it falls short
- Focused on organizational readiness, not specific AI feature adoption or value perception
- No conversational AI follow-ups to explore trust barriers or adoption hesitancy in depth
- SurveyMonkey's own AI tools (Build with AI, analysis) operate as black boxes—no prompt or model transparency
- No validated trust measurement scales—uses general readiness questions rather than academic trust constructs
Qualtrics
Qualtrics XM for Strategy + ResearchQualtrics publishes extensive research on AI trust gaps (e.g., their State of AI in Employee Experience report analyzing 35,000+ employees) but doesn't offer this as a self-serve template. Their conversational feedback feature is the most competitive AI-interview capability in the market.
What it does well
- Conversational feedback uses generative AI to generate follow-up questions during live surveys—respondents contribute 40% more information
- Own research demonstrates deep expertise in AI trust measurement at organizational scale
- 23 question types including video/audio responses with advanced logic branching
Where it falls short
- No public pre-built AI feature adoption or trust survey template—requires custom building
- Pricing starts at $420/month, making it inaccessible for academic researchers and small teams
- Conversational feedback AI is not researcher-configurable—no access to prompts, no model selection, no parameter logging
- Enterprise-focused platform creates unnecessary complexity for straightforward adoption studies
Jotform
Technology SurveysJotform offers 100+ technology survey templates including some AI-adjacent ones (AI-Augmented Learning Perception, Healthcare AI Bias Awareness, Public Perception of Health AI Tools), but none specifically targeting AI feature adoption and trust in a product or workplace context.
What it does well
- Largest volume of AI-adjacent survey templates among competitors (100+ technology surveys)
- Free plan available with drag-and-drop customization and conditional logic
- Separate AI Agents product offers conversational survey experiences with NLP
Where it falls short
- No dedicated AI feature adoption or trust survey template—closest options are domain-specific (healthcare, education)
- AI Agents are a separate product from form templates—not integrated into survey methodology
- No academic methodology validation, no rubric checking, no scale construction guidance
- AI Agent training is opaque—no visibility into prompts, models, or reasoning logic for researchers
SurveyMonkey
Employee Engagement Survey TemplateWell-established template with benchmarking capabilities and expert-written questions across motivation, leadership, growth, recognition, and culture themes. Strong analytics with filters and crosstabs, but fundamentally limited to static question-and-answer format.
What it does well
- Industry benchmarking data to compare scores against other organizations
- Standardized 5-point Likert scale with built-in scoring methodology
- Extensive customization and segmentation by team or location
Where it falls short
- No AI-powered follow-up questions to explore the 'why' behind low scores
- Static survey format cannot adapt to individual employee responses in real-time
- AI features limited to survey creation assistance, not actual respondent interaction
Typeform
Employee Engagement Survey TemplateVisually appealing one-question-at-a-time conversational format that improves completion rates. Strong UX and branding customization, but the 'conversational' experience is still pre-scripted—it doesn't actually listen and adapt like AI.
What it does well
- Beautiful, conversational one-question-at-a-time interface that feels less like a survey
- Strong integrations with Slack, Microsoft Teams, and 300+ tools
- Excellent mobile experience with no app downloads required
Where it falls short
- No AI follow-up probes—conversational format is just UX, not intelligent adaptation
- No transparent AI methodology—no visible prompts or logic for researchers to audit
- Limited survey methodology rigor—focuses on design over academic-grade question construction
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.