A free, ready-to-use introduction to Tell. Ask. Give. for college educators and learners.
Peer feedback asks learners to notice what is working, communicate what they observe, ask questions, consider another person’s perspective, and offer input that supports a useful next step. Yet learners are often expected to do this without enough language, structure, or preparation.
The TAG Peer Feedback Quick Start introduces a flexible approach educators can use to make constructive peer feedback more visible and easier to practice:
- Tell what you value, notice, or recognize as a strength.
- Ask an open-ended question that helps you understand.
- Give a reasonable, positively framed suggestion for consideration.
This free resource helps educators introduce TAG while giving learners an opportunity to see what it sounds like and try it for themselves. It can support peer review, presentations, group projects, collaborative learning, reflection, and feedback conversations across in-person, online, and hybrid learning environments.
The Quick Start Includes:
- A concise introduction to the TAG framework
- Guidance for preparing learners to use TAG
- A printable learner-facing TAG guide
- A worked feedback-conversation example
- A brief practice activity with reflection questions
- Suggestions for using the activity with learners
TAG is a guide rather than a script. Learners use their own words, respond to what another person shares, and decide how to use the feedback they receive.
This Quick Start is designed for educators who want a practical way to begin strengthening peer-feedback practices in courses, workshops, experiential learning, academic support, career preparation, and other collaborative learning settings.
➡️For additional supporting, including educator guidance, skills in practice map, written and face-to-face examples, role-play scenarios, conversation support, and reflection tools, explore the Complete TAG Peer Feedback Toolkit
On the use of AI
The TAG framework, scenarios, and instructional guidance in this toolkit were developed by B Optimal Consulting from our own research and practice with learners and professionals.
AI assistance was used for layout, formatting, accessibility markup, and editorial refinement. All content was reviewed, revised, and approved by the author.
