Bug Bash Plan (2026)
Time-boxed cross-team bug hunt: scope · participants · scoring · rewards · kickoff/debrief — runs in 2 hours.
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Participants
Why bug bashes still matter when you have automation
Automated tests catch what they were written to catch. They do not catch the UX inconsistency that confuses a new user, the empty-state copy that says "Loading..." forever, the error message that points to a deleted page, or the keyboard trap that screen-reader users hit immediately. A well-run bug bash brings 10 fresh perspectives to the build for 2 hours. The yield is consistently 20–40 issues, of which 3–5 are things automation would have never found.
The composition matters more than the size
An 8-person mixed group outperforms a 15-person QA-only group every time. Why? QA gets selection-blind on UX issues — they've trained themselves to follow the happy path. Support reps reproduce real customer pain. Designers catch visual inconsistencies. Sales test edge cases they hear from prospects. PMs ask "is this what we promised?". Each role brings a question QA has stopped asking.
Scope = success
The biggest single failure mode of a bug bash is fuzzy scope. "Test the product" produces 5 great finds and 35 reports of pre-existing minor issues. "Test checkout, auth, mobile responsive, and edge cases for Checkout 4.0" produces 30 high-signal finds. Always document what is out of scope — performance benchmarks, accessibility deep-dives, anything that needs a different tool — so people focus their 90 minutes on what matters.
Prep removes the warm-up tax
A bug bash that wastes its first 30 minutes on environment setup loses 25% of its yield. Prep the day before:
- Test accounts created and accessible
- Feature flags dark-launched and verified
- VPN / staging access tested with at least one participant
- Screenshot / replay tool installed and tested
- Bug tracker filter pre-created (e.g., label
bug-bash) - Bug report template stickied in Slack with severity / priority / repro fields
Scoring drives behaviour
A scoring rubric tells participants what to look for. Recommended:
- Critical (P1, hard blocker) — 10 pts
- High — 6 pts
- Medium — 3 pts
- Low — 1 pt
- Duplicate of another reporter — 0
- First-finder bonus — +2 pts (rewards thorough exploration)
If you want more security findings, weight security higher. If you want more accessibility, add an accessibility bonus. The rubric shapes the hunt.
The debrief is the value extraction
The 30-minute debrief is not optional. Tally points (and announce a winner — gift card or recognition). Surface the top 3 most surprising findings — these are the ones that change product decisions. Identify patterns: were most bugs concentrated in one feature? Was there a recurring UX anti-pattern? Patterns produce architecture-level action items, which are higher leverage than fixing individual bugs.
Follow-through or it didn't matter
Within 48 hours: triage every Critical / High. Within a week: write a short Slack summary of patterns and action items. Within the next sprint: action items in the backlog with owners. Bug bashes that don't follow through erode trust — next time, fewer people show up.