Vindex — How It Works
Improve requirement quality inside Jira without changing how your teams work.
Vindex evaluates the clarity and completeness of requirements, then provides specific, actionable feedback directly on the ticket so teams reduce rework and avoid late surprises.
Connect Jira
Baseline current quality
Scores each ticket
Explains what’s missing
Suggest concrete improvements
Track trends over time
Connect to Jira
Auxiliary Digital team provides free White-glove support for a limited time
We set up Vindex to read the Jira fields your teams actually use—summary, description, acceptance criteria, custom fields, labels, components, and linked issues.
- Works with your current workflows
- Supports gradual rollout (one project → expand)
- Permissions aligned to your requirements and security posture
Baseline current quality
Establish a baseline
(so results are provable)
Before changing anything, Vindex establishes a baseline so you can answer:
- “How clear are our tickets today?”
- “Where does ambiguity cluster?”
- “Which teams/projects need the most support?”
This becomes the “before” picture your leadership will trust.
Score each ticket using INVEST
Vindex evaluates the requirement as written using a consistent rubric:
- Independent — hidden dependencies or blockers are identified
- Negotiable — avoids being a disguised implementation plan
- Valuable — clear user/business outcome
- Estimable — enough clarity to size confidently
- Small — appropriately scoped for delivery cycles
- Testable — verifiable acceptance criteria and success conditions
In addition to scoring, Vindex highlights practical gaps teams routinely miss:
- unclear scope boundaries (“what’s in / what’s out”)
- missing edge cases and failure states
- ambiguous terms and assumptions
- integration touchpoints and data considerations
- non-functional expectations (performance, security, audit, accessibility) when relevant
Explains what’s missing and suggests concrete improvements
Deliver actionable feedback inside the ticket
Vindex doesn’t just score—it explains what to do next. Each ticket gets:
- UN score + breakdown
- A short “What’s missing” liste
- Suggested acceptance criteria improvements
- Prompts to clarify dependencies / integrations
- Optionnel rewrite suggestions when the description is too vague or too prescriptive
This reduces back-and-forth during grooming and prevents “clarify it later” from becoming rework.
What you get in a pilot
Résultat : a practical, defensible “before/after” that shows whether Vindex improves requirement quality and reduces downstream churn.
Typical pilot deliverables
- Baseline quality report
- Tuned scoring profile aligned to your writing patterns and domain
- Rollout plan for teams (templates, examples, coaching notes)
- Results readout you can share with engineering/product leadership
Time to value: meaningful signal often appears within the first few grooming cycles.
Does Vindex replace Product, BA, or Engineering judgment?
Non. It makes quality visible and consistent—so people spend time on real decisions, not avoidable ambiguity.
Will this slow teams down?
It typically speeds teams up by reducing follow-ups, rework, and late-stage clarification—especially during grooming and test planning.
Can we customize what “good” looks like?
Oui. We can tune scoring and guidance to reflect your templates, terminology, delivery constraints, and what your teams consider “clear enough to build.”
What about false positives or overly generic feedback?
That’s why pilots include tuning and (optionally) context sources. Relevance improves as Vindex aligns to your vocabulary and real examples.
Ready to see it on your Jira tickets?
Vindex is built by Auxiliary Digital for teams who want measurable improvement in requirement quality—without adding process overhead.
