GitHub Discussions Q&A category with marked answers
Use answerable Q&A categories and marked answers so good replies stop looking like just another comment in the thread.
Why this can grow a startup
A discussion can contain the answer and still feel unresolved to the next visitor. GitHub exposes answerable discussion categories and answer-marking in its Discussions model, which means the maintainer can turn a thread into a clearer endpoint instead of a loose conversation. That makes the archive more trustworthy for searchers and lighter for support because solved questions stop reappearing as fresh work. The point is not decoration. It is making the finish line visible.
Source-backed example
GitHub's Discussions GraphQL reference shows categories can support choosing an answer through `markDiscussionCommentAsAnswer`, and discussion comments expose viewer permissions for marking and unmarking answers.
Source-reported evidence
Source: GitHub Docs: Discussions GraphQL reference
GitHub exposes category support for answer selection plus `viewerCanMarkAsAnswer` and `viewerCanUnmarkAsAnswer` on discussion comments.
Attributed to the cited source; GrowthDex has not independently verified it. Use this as context, not as a forecast, benchmark, or recommended target.
Evidence scope: claims and metrics are attributed to the linked source; GrowthDex has not independently replicated the reported result. Check the original context and validate fit before applying it. Read the evidence methodology.
When to use it
Use this when GitHub, Community, SEO is relevant to answered threads, support archive, crawlable answers and you can run a bounded test with a free budget.
When not to use it
Do not use it as a substitute for customer evidence, a clear owner, or a measurable stop condition. Local platform rules and market behavior still need checking.
How to do it
- Choose one target segment and define the exact next action this tactic should prompt.
- Adapt the tactic to GitHub and Community, using evidence from GitHub Docs: Discussions GraphQL reference as context—not as a promised result.
- Record a baseline for: Qualified search visitors who complete the intended next action. Set a guardrail that would make you pause the test.
- Run a narrow pilot and choose a test window that fits the normal decision or use cycle; do not scale before you have observed the full cycle.
- Compare the signal with its baseline. Scale only if the intended action improves without crossing the guardrail; otherwise revise one variable or stop and record what you learned.
Compare a stack for your situation
Compare source-backed tactics against your product, stage, budget and channel strengths, then choose one experiment to test.
Explore the context
Did you launch this experiment?
Report a launch to help us understand which growth ideas founders put into practice.
Apply this with an operator
Turn isolated search tactics into a crawlable visibility system tied to demand and proof.