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Design & Creative Feedback Review

Structured stakeholder or customer feedback on a design, mockup, or creative asset: first impressions, a click on what draws attention, ratings against the brief, and file upload for marked-up versions. The AI interviewer converts 'I just don't like it' into usable direction.

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Sample questions

A preview of what’s in the template. Every question is editable before you launch.

9 questions · ~6 min
Q01
Message

Thanks for reviewing this design! You'll react to the work, rate it against what it needs to achieve, and explain your thinking. Honest beats polite — the designer wants direction, not applause. About 5 minutes.

Q02
Multiple ChoiceRequired

What's your relationship to this project?

  • I requested this work
  • Stakeholder in the outcome
  • Fellow designer
  • Target customer or user
Q03
Short TextRequired

First impression: without overthinking, what three words describe this design?

Q04
Opinion ScaleRequired

How clearly does the design communicate its main message?

Scale: 1 – 7
Min:I can't tell what it's sayingMax:Instantly clear
Q05
Opinion ScaleRequired

How well does it fit the brand as you understand it?

Scale: 1 – 7
Min:Off-brandMax:Perfectly on-brand
Q06
Multiple ChoiceRequired

What should happen with this design?

  • Ship it as is
  • Ship with minor tweaks
  • Needs another iteration
  • Wrong direction — rethink
Q07
AI Interview

Turn the reviewer's reaction into actionable direction: which specific element drove their overall verdict, what they would change FIRST and what that change accomplishes, what must NOT change, and whether their concerns are about craft (execution) or strategy (the idea itself). If they said 'wrong direction,' probe what the right direction solves that this one doesn't.

Q08
File upload

Optional: upload a marked-up version, reference example, or anything that shows what you mean.

Q09
Message

Feedback delivered — thank you! Everything is compiled into a single themed summary for the design team, with disagreements surfaced instead of averaged away.

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

  • Converts 'I just don't like it' into direction: the AI separates craft critiques from strategy critiques and asks what must NOT change
  • Captures reviewer role and gut-reaction words before ratings, so you can weight feedback by stakeholder type
  • Marked-up file uploads and a ship/iterate/rethink verdict give the design team an actionable decision, not a score
  • Disagreements between reviewers are surfaced in the summary instead of averaged away

Jotform

Creative Design Feedback Survey Form Template

A clean design-feedback form that captures reviewer identity/role, a star rating for visual appeal, a design-aspect evaluation matrix, and open-ended liked/improve/comments fields plus a follow-up flag. Strong for standardized, consistent stakeholder input, but it is a one-shot form with no way to review the actual artifact interactively or probe vague feedback.

What it does well

  • Captures reviewer name, email, and project-relationship role to contextualize each response
  • Mixes quantitative (star rating for visual appeal, design-aspect matrix, satisfaction scale) with qualitative open-text
  • Structured 'most liked / suggested improvements / additional comments' fields keep feedback actionable
  • Follow-up discussion status field to route responses that need a conversation

Where it falls short

  • Static form with no adaptive AI follow-up when a reviewer says something is 'off' but not why
  • No mechanism to present/annotate the actual design artifact inside the flow; it references the work by name only
  • No voice option for reviewers to talk through their reaction
  • No auto-synthesized report aggregating and theming feedback across reviewers

Ziflow

Design Feedback Template (Creative Review & Approval)

A structured creative-review template with a creative-brief header, review criteria (visual, functionality, content, brand alignment), works-well/improve/suggestions sections, action items assigned to people, and a four-level approval status. Strong on driving specific, decision-oriented feedback and formal approval, but as a blog template it standardizes fields rather than offering adaptive interviewing or in-app markup.

What it does well

  • Creative-brief header ties feedback back to project goals for context
  • Explicit review criteria across visual elements, functionality/UX, content accuracy, and brand alignment
  • Action-items section assigning specific tasks to named individuals
  • Four-level approval status (approved / minor changes / major revisions / rejected) with next steps and deadlines

Where it falls short

  • Standardized fields only; no AI that asks a reviewer a targeted follow-up on a specific critique
  • The template itself is a document structure, not an environment where reviewers annotate the live artifact
  • No voice modality for stakeholders to narrate their reaction
  • No automated roll-up of multi-reviewer feedback into a synthesized report

Asana

Creative Asset Feedback and Approval Template

A workflow-oriented template that moves assets through review stages (in production, ready for review, needs changes, approved) with criterion-level feedback, version control, due dates, and a recommended 3-5 reviewer set spanning design/brand/compliance. Strong on process, revision tracking, and approval routing, but feedback is comment fields on tasks rather than an interviewed, synthesized understanding of reviewer reasoning.

What it does well

  • Kanban-style review stages (in production, ready for review, needs changes, approved) for clear status
  • Criterion-level feedback sections plus creative-brief reference for context
  • Version control guidance so reviewers always evaluate the latest asset
  • Recommends 3-5 reviewers covering design, brand, and compliance perspectives

Where it falls short

  • Feedback is free-text comments on tasks; no AI follow-up to clarify or deepen a vague note
  • No voice-AI interview for stakeholders to talk through their review
  • No in-flow presentation of the artifact with adaptive questioning; it manages the asset, reviewers open files separately
  • No auto-generated synthesis of what reviewers collectively want changed

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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