concept
Recommendation survivability
Whether a company remains in the recommendation set as a buyer adds requirements, requests validation, and moves toward selection.
- Question
- As requirements are introduced in sequence, does a company remain in the recommendation set, and what removes it when it does not?
Recommendation survivability is whether a company remains in the recommendation set as a buyer adds requirements, requests validation, compares alternatives, and moves toward selection. Selection is the eventual outcome. Survivability describes movement through the evaluation before selection is reached.
To be recommended and stay recommended, a vendor has to survive a series of gates: getting surfaced, passing screening, holding up in a comparison, clearing validation, and making the final cut. Each requirement a buyer adds can change who remains, which is what the experiments below record.
The part we can measure today is survival as requirements are introduced in sequence. The fuller notion, holding up under re-sampling, newer models, and repeated follow-up, is not yet a settled measurement; that sits behind our evidence method and the open M-1 question. We keep the term here so the site does not lean on a word it cannot yet fully define, and we report what we can defend at its tier.
Evidence in this component
What we have run, and what we have seen.
Experiments
- E-045Video conferencing software: When the field survives and keeps its names
- E-041CRM software: When the recommendation set survives but its members do not
- E-043Accounting software: When the whole field is wiped out and replaced
- E-044Accounting software: When the same kill repeats on a second evaluator
- E-034Clinical trial management software: When the recommendation set collapses
- E-040Project management software: When the recommendation set holds
Observations
- Candidate · 2026-07-20Survival depended on the category, in at least four ways
- Candidate · 2026-07-20Survival appeared in two modes, and their cause is confounded
Related components
Relevant business questions
- Why did we disappear after follow-up questions?
- What must become true to survive evaluation?
- How do we measure whether our position improved?
- How do AI systems evaluate and recommend vendors?
This object references
- observes → requirements
Referenced by
- category-dependent-survivability (part-of)
- field-vs-membership-distinction (part-of)
- E-034 (part-of)
- E-040 (part-of)
- E-041 (part-of)
- E-043 (part-of)
- E-044 (part-of)
- E-045 (part-of)
- competitor-displacement (part-of)
- frontrunner-movement (part-of)
- recommendation-set-formation (part-of)
- recommendation-stability (part-of)
- validation-and-evidence (part-of)
- vendor-elimination (part-of)
Authors
Upstream Zero
Machine rendering