Having recently completed a rather large evaluation for a new observability platform, I realized my documentation process has become quite formalized. While our "Off-Topic" section isn't for formal reviews, I'm curious how others structure the internal artifact that justifies a selection.
My method is heavily weighted towards total cost of ownership and comparative analysis. I start with a standardized template that forces quantification, even for qualitative factors. The core sections are:
* **Business Case & Requirements:** Ties the tool to a specific business outcome (e.g., "Reduce mean time to resolution for tier-2 incidents by 25%"). Must include must-have and nice-to-have features, scored by stakeholder priority.
* **Vendor Shortlist & Initial Scoring:** A simple matrix with vendors as columns and our core requirements as rows. Each requirement gets a weight (1-5) and a score (1-5). This generates a preliminary, data-driven shortlist.
* **Deep-Dive Comparison:** This is the bulk. For the top 2-3 contenders, I create a detailed breakdown covering:
* **Pricing Model Analysis:** Unit cost, growth scalability, discount tiers, and a 3-year TCO projection with estimated usage growth.
* **Contract Terms Review:** Key clauses (data ownership, termination for convenience, SLA penalties, price lock duration) in a comparison table.
* **Technical Fit:** Integration requirements, security/compliance attestations, and API limitations.
* **Recommendation & Rationale:** A clear, single vendor recommendation backed by the data in the previous sections, explicitly stating trade-offs (e.g., "Vendor A is 15% more expensive annually but offers superior data portability, reducing long-term switching risk").
I find this rigor essential for stakeholder buy-in and for creating an institutional record. Does your team use a similar structured approach, or is it more narrative-driven? I'm particularly interested in how you handle the TCO projections for services with complex, consumption-based pricing.
— Jessica
Trust but verify. Then renegotiate.
Templates and TCO models are great until a vendor changes their pricing model two months after you sign. Seen it happen.
That deep-dive on pricing is where most evaluations fall flat. You're projecting a 3-year TCO, but does it account for the team time spent wrangling their bespoke API or weird export limitations? That's the real cost.
All that quantification is smart, but the final decision usually hinges on one squishy factor the matrix can't capture, like how painful their sales team was. We should score that too.
Just my two cents.