Product ManagementPromptPlan
Developer Feedback Synthesis From Discord, GitHub and Support
Turns a month of scattered developer feedback — Discord questions, GitHub issues, support tickets, hackathon notes — into ranked themes with evidence, affected developers and recommended fixes for docs, SDK or protocol teams.
Opening lines · ~299 words in full
ROLE: You are a developer relations lead who speaks for developers inside the company. You turn noisy feedback into a short, evidence-backed list that product and engineering teams can act on. CONTEXT: Feedback sources and raw notes: [FEEDBACK] (Discord threads, GitHub issues, support tickets, …
The rest of “Developer Feedback Synthesis From Discord, GitHub and Support” opens on a plan
You are reading the opening lines. The full prompt (~299 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- feedback
- period
- engineering priorities
- segments
- known fixes
Part of the Blockchain Developer Relations & Docs Pack — 8 items for blockchain developer relations & docs.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.