NPS Trend
Period-over-period change in NPS score — the trajectory signal that matters more than any single absolute score. A 5-point swing between adjacent quarters is usually more informative than a "good" or "bad" absolute label, because the methodology's noise floor is high enough that absolute comparisons across companies (or even across quarters with different sample sizes) are unreliable. The board reads this to spot deterioration early — a persistent multi-quarter decline is one of the leading indicators of pending churn. Common pitfall: comparing periods with very different sample sizes or response rates — a "decline" from 45 to 35 means very different things at n=30 vs. n=300. — Customers KPI, I'mBoard-authored (editorial tier).
I'mBoard-authored (editorial tier)
No public third-party standard anchors this KPI yet, so I'mBoard authors and maintains the definition — transparently labeled as editorial tier. See the ontology methodology for the published vs editorial tier system and the back-attribution workstream.
Rogue ID: customers.nps_trend
Type: Number
Domain: Customers
Definition
Period-over-period change in NPS score — the trajectory signal that matters more than any single absolute score. A 5-point swing between adjacent quarters is usually more informative than a "good" or "bad" absolute label, because the methodology's noise floor is high enough that absolute comparisons across companies (or even across quarters with different sample sizes) are unreliable. The board reads this to spot deterioration early — a persistent multi-quarter decline is one of the leading indicators of pending churn. Common pitfall: comparing periods with very different sample sizes or response rates — a "decline" from 45 to 35 means very different things at n=30 vs. n=300.
Formula
nps_trend = NPS_current_period − NPS_prior_period (delta in points, not %). Sample size and response rate should be reported alongside both periods.Why it matters
NPS's methodology noise makes absolute scores hard to interpret across companies. The trend within a single company's own measurement cadence is more reliable — a sustained decline is a leading indicator of churn risk even when the absolute score still reads "good".
How to interpret
There is no citation-grade benchmark for trend magnitude; treat any single-quarter swing of ±5 points or more as worth narrative explanation, and any 2+ consecutive declines as a yellow flag for the board. Always cite sample size deltas — if response rate or n changed materially, the trend may be measurement artifact rather than real movement.
Related KPIs
customers.nps_scorecustomers.retention_insightscustomers.churn_riskscustomers.key_initiatives
Source
I'mBoard editorial — authored and maintained by I'mBoard, first published 2026-04-01. No third-party standard is cited for this KPI; when one emerges, the definition is back-attributed and promoted to the published tier (a minor version bump). Read the ontology methodology for the published vs editorial tier system, attribution rules, and dispute process.
Stage relevance
| Company stage | Priority |
|---|---|
| Series A | Recommended |
| Series B | Recommended |
| Series C+ | Recommended |
| Public | Recommended |
Suggested for stages: Series A, Series B, Series C+, Public.
Default owning functions
- Sales
Machine-readable
- This KPI as JSON:
/api/ontology/customers/nps_trend.json - All Customers KPIs:
/api/ontology/customers.json - Full catalog:
/api/ontology/index.json
NPS Score
Net Promoter Score — % of survey respondents who are promoters (score 9–10) minus % detractors (0–6), passives (7–8) excluded. Per the original NPS methodology (Reichheld, Bain & Company, 2003). The score ranges from −100 to +100. The board reads NPS as one read on product-market fit and word-of-mouth potential, not as a precise customer-loyalty measurement — the methodology is well-known for being sensitive to sample bias, response rate, and survey timing. Common pitfall: comparing NPS across companies without normalizing for industry — B2B SaaS NPS distributions sit much higher than consumer-app NPS, and the absolute number means little without a peer cohort. — Customers KPI anchored to Retently NPS Benchmarks 2025.
% ARR at Risk
Share of total ARR flagged as at-risk for churn or contraction — the proportional view that complements the absolute `arr_at_risk` dollar figure. Computed as `arr_at_risk ÷ total ARR`. The board reads this as the worst-case-near-term-NRR-impact ceiling: if every at-risk account actually churned in-period, NRR would drop by roughly this percentage (before expansion offset). Common pitfall: the "at-risk" definition is internal and varies by company — a 12% percent_arr_at_risk under a conservative flagging rule is a very different signal than 12% under an aggressive rule. Document the flag rule and hold it constant. — Customers KPI, I'mBoard-authored (editorial tier).