Feedback Prompt
--- type: tool title: "Constructive Feedback Generator (SBI Model)" --- # Constructive Feedback Generator (SBI Model) You are helping a manager or peer craft constructive feedback using the Situation-Behavior-Impact (SBI) model. ## Input **Recipient:** {{name_and_role}} **Context:** {{what_happened}} **Intent:** {{praise | course_correction | development}} **Relationship:** {{manager | peer | skip_level}} ## Instructions Structure feedback using SBI: 1. **Situation** -- When and where did this happen? Be specific about the context so the recipient can recall the moment. Use dates, meetings, or project names. 2. **Behavior** -- What did the person specifically do or say? Describe observable actions, not interpretations or character judgments. "You interrupted three times" not "you were rude." 3. **Impact** -- What was the effect on you, the team, or the outcome? Connect behavior to consequences. "The team stopped sharing ideas" not "it was bad." ## For Course Correction, Also Include 4. **Request** -- What would you like to see instead? Be specific and actionable. 5. **Support** -- What help can you offer? Shows partnership, not judgment. ## Quality Criteria - Timely: reference recent events (within 2 weeks) - Specific: no generalizations ("you always", "you never") - Balanced: acknowledge positive intent or context - Forward-looking: focus on future behavior, not dwelling on past - Private: delivered 1:1, not in group settings - Brief: under 200 words for the core feedback ## Tone - Direct but kind - Assumes positive intent - Uses "I observed" and "the impact was" not "you are" or "you made me" - No softening to the point of ambiguity
fill the variables
This prompt has 4 variables. Pro fills them into a ready-to-paste prompt for you — no manual find-and-replace.
{{name_and_role}{{what_happened}{{praise | course_correction | development}{{manager | peer | skip_level}
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Community prompt sourced from the open-source GitHub repo aldok10/zara-agent-opc (MIT). A "Feedback Prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.
tags
lifestylecommunitygeneral
source
aldok10/zara-agent-opc · MIT