AIOps Vendor Selection Rubric

Twelve weighted dimensions, four-point scoring, and a single-page summary that lets the buying committee make the decision in one room instead of three months.

Why scorecards beat scoreboards

The default AIOps buying outcome, without a rubric, is "we picked the one that demoed best." This is fine if your sole criterion is demo quality, which it shouldn't be. The vendor with the most polished SE team often has the least mature product; the vendor with a mediocre demo and a strong reference base often has the platform that survives a year of real production traffic.

A rubric forces explicit weighting. The buying committee writes down what matters before they see any vendor. The dimensions and weights become defensible, to the CFO, to the board, to the future you who has to renegotiate the deal. The decision falls out of arithmetic instead of consensus.

The twelve dimensions

1. Detection quality. Alert accuracy, signal-to-noise ratio, false positive rate against the team's own baseline.
2. Correlation depth. How well the platform stitches signals across services and infra layers into single incidents.
3. Diagnosis quality. Whether the platform produces a hypothesis or just charts.
4. Autonomous action. Real autonomy with audit trails, scoped to a clear guardrail.
5. Integration breadth. Native connectors for the team's actual stack, not a roadmap.
6. Data portability. What goes in, what comes out, what gets locked.
7. Pricing transparency. Written, defensible, with overage clauses spelled out.
8. Total cost (3-year). Modelled growth, not list price.
9. Implementation speed. Day-1, week-1, month-1 milestones with vendor accountability.
10. Support quality. Response SLAs, on-call coverage, named CSM.
11. Security & compliance. SOC 2, ISO 27001, data residency, audit logs.
12. Vendor stability. Funding runway, customer count, executive turnover.

Weighting by deal profile

Default weights for a typical $200k-$500k mid-market AIOps deal: detection 12%, correlation 12%, diagnosis 10%, autonomy 8%, integrations 10%, portability 6%, pricing transparency 6%, total cost 12%, implementation 8%, support 8%, security 5%, vendor stability 3%. Total: 100%.

For larger deals ($500k+), increase security and vendor stability (5% to 10%, 3% to 8%) at the expense of integration breadth and pricing transparency. At enterprise scale, the platform's ability to survive an audit and the vendor's ability to survive five years matter more than the connector list.

For smaller deals (sub-$100k), increase pricing transparency, total cost, and integration breadth. Drop autonomy from 8% to 3%, at this scale, the team is unlikely to deploy autonomous remediation and shouldn't pay for it.

The weighting itself is a discussion the buying committee should have before they see the first vendor. The 30-minute weighting meeting saves three months of "but I think this matters more" debates downstream.

The 4-point scoring scale

For each dimension, score each vendor on the same 4-point scale.

• 0, Fails. Doesn't meet the basic requirement; would block the deal on its own.
• 1, Below par. Functional but materially weaker than the alternatives.
• 2, Meets bar. Solid; comparable to industry alternatives.
• 3, Differentiated. Clearly better than the alternatives; this is what you'd remember in six months.

The discipline is forcing evaluators to defend the gap between 2 and 3. Most vendors land at 2 on most dimensions; the 3s are where the deal is actually decided.

The weighted score is straightforward, sum of (weight × score) across all twelve dimensions, max possible 300. A score above 220 is a strong yes, 180-220 is a workable yes with negotiation leverage, below 180 is a no regardless of how good the demo was.

The single-page summary

The output of the rubric is a single page the entire buying committee sees. Twelve rows for the dimensions, columns for each vendor, the score in each cell, the weighted total at the bottom.

The page also includes three callouts per vendor, the highest-scoring dimension, the lowest-scoring dimension, and the single biggest commercial risk. These three lines are what stick in committee members' memories; the underlying scores are the audit trail.

One page is the right length. Anything longer and the committee starts skimming; anything shorter and the audit trail gets lost. The vendor name, the weighted total, the three callouts. That's the instrument.

How to actually use it

The rubric works in four steps. (1) Buying committee meets for 30 minutes to set the dimension weights for this specific deal, not generic, this deal. (2) Each evaluator scores each vendor independently after the demos and reference calls. No collaboration; the goal is to surface real disagreement. (3) A consolidation meeting where evaluators reconcile their scores, with the rule that any 2-vs-3 gap requires re-watching the relevant demo segment. (4) The weighted totals are computed; the decision falls out.

The most common abuse of rubrics is back-fitting, the committee already picked a vendor, and the rubric is reverse-engineered to support that choice. The defence is timing. Run the weighting meeting before the first demo; run the scoring before the consolidation meeting; commit to the weights and the scoring scale in writing. If you can't, the rubric is decoration, not decision-making.

Used properly, the rubric does three things. It shortens the buying cycle. It produces a defensible decision. And it gives the future you a renewal-time reference document, when the platform misses on a dimension you scored as 3, you have the original commitment in writing.