Inability to Disable Hints per Plugin

usabilityActiveStable

Current configuration does not allow disabling hints for specific plugins, which can lead to operational issues without requiring code changes.

Opportunity Score (Heuristic (unvalidated)):57 · Medium · heuristic
First seen: 6/4/2025
Last seen: 8/24/2026

Score Breakdown

Heuristic ranking from public discussion signals — not a validated prediction of commercial opportunity, demand, or willingness to pay.

Composite 57/100 (Medium, unvalidated). Top driver: Severity (25% weight, 16.3 pts).

Frequency · 25% · 16 pts · XPS relevance64

Heuristic only — often urgency map or random scaffolding on ingest, not measured mention frequency. Maps to XPS relevance (with market size).

Severity · 25% · 16.3 pts · XPS quality65

LLM/mock judgment of intensity from title/summary text — not ops or ticket data. Maps to XPS quality (with willingness to pay).

Willingness to pay · 30% · 13.5 pts · XPS quality45

LLM/mock purchase-intent guess from text — not invoices, surveys, or paid seats. Maps to XPS quality.

Trend · 10% · 5.9 pts · XPS novelty59

Heuristic/scaffold (often random or fixed on insert) — not a verified mention trajectory. Maps to XPS novelty.

Market size · 10% · 5.2 pts · XPS relevance52

Heuristic/scaffold (often random or fixed) — not TAM research. Maps to XPS relevance (with frequency).

Catalog notes (not predictive analysis)

Inability to Disable Hints per Plugin (usability). Catalog heuristic opportunity score: 57/100 — a chosen formula over discussion-signal facets, not evidence of demand, conversion, or willingness to pay. Treat as browsing rank, not a commercial prediction.

Current configuration does not allow disabling hints for specific plugins, which can lead to operational issues without requiring code changes.

Source Examples

kubernetes/kubernetes Issues·Jun 4, 2025
“QHint: Add effectiveness metrics and per-plugin control ### What would you like to be added? Now that QueueingHint is GA (#131973), I'd like to work on a QHint implementation for my plugins, but before I do so, the following improvements could be made. What do you think? I'd like to propose operational improvements: - Metrics to measure hint effectiveness `queueing_hint_decisions_total{plugin="...", event="...", hint="Queue|QueueSkip"}` I'm considering whether to include scheduling outcomes: `queueing_hint_effectiveness_total{plugin="...", event="...", hint="Queue", outcome="scheduled|failed"}` - Configuration to disable hints per plugin ```yaml profiles: - schedulerName: default-scheduler disabledQueueingHints: ["NodeResourcesFit"] ``` ### Why is this needed? - Metrics: Identify which plugins provide accurate hints - Control: Disable hints for problematic plugins without code changes - Debugging: Isolate issues to specific plugins ### Open Questions Should we track scheduling outcomes to measure false positives (Queue→failed) and false negatives (QueueSkip→could have succeeded)? /sig-scheduling cc: @sanposhiho @macsko 🙏 ”
— utam0k↗

Competitive Landscape

  • Existing solutions are either too expensive or too limited
  • Most competitors target enterprise, leaving mid-market underserved
  • Community scripts and manual processes are the primary alternative

Recommended Next Steps

  1. ✓Validate pain intensity with 5-10 target customer interviews
  2. ✓Build minimal viable solution addressing the core workflow
  3. ✓Test pricing with early adopters from community forums

Related Pain Points

Target Customers

  • IT teams at mid-size organizations (100-2000 employees)
  • MSPs and consultants managing multiple client environments
  • Teams without dedicated specialist staff for this domain

Monetization Ideas

  1. 1SaaS subscription model ($99-$499/month depending on scale)
  2. 2Usage-based pricing aligned with value delivered
  3. 3Freemium tier to drive adoption and prove value