Prioritizing with the ICE model is one of the fastest ways to rank your backlog. The ICE scoring model uses just three factors (Impact, Confidence, and Ease) instead of RICE's four. It's popular with growth teams who need to prioritize experiments quickly. This guide covers how ICE works, when to use it over RICE, and includes a free template. Table of contents What is the ICE Scoring Model? The ICE model is a framework that prioritizes ideas or projects based on their Impact, Confidence, and Ease. In product management, the ICE framework has become a standard tool for making data-driven decisions. Sean Ellis , famous for coining the term "growth hacking", invented this prioritization model. ICE originated in the growth hacking community, where rapid experimentation requires quick prioritization decisions. The ICE framework helps you make a "good enough" guess at priority. It's not perfect, but it helps you figure out which features are awesome and which ones you should probably skip. ICE stands for three factors (the three ICE criteria): Impact: How much does this help us reach our goals? Confidence: How sure are we that this will actually work? Ease: How hard is it to make this happen? (Note: some teams use "Effort" instead of "Ease", inverting the scale) ICE Score Formula The ICE score formula multiplies all three factors together: ICE Score = Impact × Confidence × Ease Each factor is typically scored on a 1-10 scale, giving an ICE score range from 1 (worst) to 1000 (best). Higher scores mean higher priority. Because the factors are multiplied, a single low score drags the total down disproportionately, which is intentional: an unconfident, high-impact idea should NOT beat a confident, moderate-impact idea in an experimentation-first workflow. ICE Scoring Template Most teams start with a simple spreadsheet. Columns: item name, Impact (1-10), Confidence (1-10), Ease (1-10), ICE Score (formula), Rank. Add one row per backlog item, sort by ICE Score descending, and
Source : Modèle MRRTrack
Utilisateurs actifs estimés × part payante supposée × revenu mensuel estimé par client. Nous distinguons le B2B, le B2C et les outils pour créateurs, et utilisons les revenus comparables disponibles. Ce sont des hypothèses de calcul, pas des ventes mesurées.
Fourchette indicative $66–$6.6k
Part des visites mensuelles
Carte indisponible. Les parts de trafic restent affichées.
Sélectionne un pays pour le situer
Prioritizing with the ICE model is one of the fastest ways to rank your backlog. The ICE scoring model uses just three factors (Impact, Confidence, and Ease) instead of RICE's four. It's popular with growth teams who need to prioritize experiments quickly. This guide covers how ICE works, when to use it over RICE, and includes a free template. Table of contents What is the ICE Scoring Model? The ICE model is a framework that prioritizes ideas or projects based on their Impact, Confidence, and Ease. In product management, the ICE framework has become a standard tool for making data-driven decisions. Sean Ellis , famous for coining the term "growth hacking", invented this prioritization model. ICE originated in the growth hacking community, where rapid experimentation requires quick prioritization decisions. The ICE framework helps you make a "good enough" guess at priority. It's not perfect, but it helps you figure out which features are awesome and which ones you should probably skip. ICE stands for three factors (the three ICE criteria): Impact: How much does this help us reach our goals? Confidence: How sure are we that this will actually work? Ease: How hard is it to make this happen? (Note: some teams use "Effort" instead of "Ease", inverting the scale) ICE Score Formula The ICE score formula multiplies all three factors together: ICE Score = Impact × Confidence × Ease Each factor is typically scored on a 1-10 scale, giving an ICE score range from 1 (worst) to 1000 (best). Higher scores mean higher priority. Because the factors are multiplied, a single low score drags the total down disproportionately, which is intentional: an unconfident, high-impact idea should NOT beat a confident, moderate-impact idea in an experimentation-first workflow. ICE Scoring Template Most teams start with a simple spreadsheet. Columns: item name, Impact (1-10), Confidence (1-10), Ease (1-10), ICE Score (formula), Rank. Add one row per backlog item, sort by ICE Score descending, and
Updated: 09/01/2026
Part calculée à partir de la portée communiquée par Meta. Les dépenses par pays ne sont pas publiées.
Trafic, revenus et acquisition : les données derrière le produit.
Catalogue mis à jour le
Prioritizing with the ICE model is one of the fastest ways to rank your backlog. The ICE scoring model uses just three factors (Impact, Confidence, and Ease) instead of RICE's four. It's popular with growth teams who need to prioritize experiments quickly. This guide covers how ICE works, when to use it over RICE, and includes a free template. Table of contents What is the ICE Scoring Model? The ICE model is a framework that prioritizes ideas or projects based on their Impact, Confidence, and Ease. In product management, the ICE framework has become a standard tool for making data-driven decisions. Sean Ellis , famous for coining the term "growth hacking", invented this prioritization model. ICE originated in the growth hacking community, where rapid experimentation requires quick prioritization decisions. The ICE framework helps you make a "good enough" guess at priority. It's not perfect, but it helps you figure out which features are awesome and which ones you should probably skip. ICE stands for three factors (the three ICE criteria): Impact: How much does this help us reach our goals? Confidence: How sure are we that this will actually work? Ease: How hard is it to make this happen? (Note: some teams use "Effort" instead of "Ease", inverting the scale) ICE Score Formula The ICE score formula multiplies all three factors together: ICE Score = Impact × Confidence × Ease Each factor is typically scored on a 1-10 scale, giving an ICE score range from 1 (worst) to 1000 (best). Higher scores mean higher priority. Because the factors are multiplied, a single low score drags the total down disproportionately, which is intentional: an unconfident, high-impact idea should NOT beat a confident, moderate-impact idea in an experimentation-first workflow. ICE Scoring Template Most teams start with a simple spreadsheet. Columns: item name, Impact (1-10), Confidence (1-10), Ease (1-10), ICE Score (formula), Rank. Add one row per backlog item, sort by ICE Score descending, and
Site officiel productlift.devProductLift: Build Products Your Customers Actually Want totalise environ 25 379 visites en septembre 2026.
La variation est de -6,2% par rapport à août 2026 (27 044 visites).
Il s’agit de visites estimées, pas d’utilisateurs uniques ni de clients payants. Une hausse du trafic ne prouve pas une hausse des ventes.
| Mois | Visites |
|---|---|
| 29 739 | |
| 27 044 | |
| 25 379 |
Le revenu mensuel de ProductLift: Build Products Your Customers Actually Want est estimé à $660. Ce chiffre est une estimation, pas un revenu déclaré par l’entreprise ni un MRR vérifié par les paiements. Le modèle utilise les signaux disponibles du produit, du trafic et de SaaS comparables ; ses hypothèses restent incertaines.
Les principaux pays d’origine des visites de ProductLift: Build Products Your Customers Actually Want sont : États-Unis (26,3%), Inde (9,6%), Viêt Nam (7,5%). Ces parts décrivent le trafic du site, pas la localisation des clients payants.
Les canaux renseignés dans le relevé incluent : Accès direct (46,8%), Sites référents (10,0%), E-mail (2,5%). Cette couverture peut être partielle : une valeur manquante ne prouve pas l’absence d’un canal. Ces visites ne mesurent pas les conversions ou le retour publicitaire.
Les sections YouTube et Meta Ads permettent d’explorer les mentions et créations collectées. Leur consultation dépend de votre compte et de votre abonnement.
Explorer les données d’acquisitionAucune sélection suffisamment pertinente de SaaS similaires n’est disponible pour cette fiche. La proximité est évaluée à partir des descriptions, catégories et usages disponibles. Elle ne garantit pas des fonctionnalités ou des tarifs équivalents.
Des réponses fondées sur les données disponibles dans cette fiche.
ProductLift: Build Products Your Customers Actually Want totalise environ 25 379 visites en septembre 2026. Il s’agit de visites estimées, pas d’utilisateurs uniques ni de clients payants. Une hausse du trafic ne prouve pas une hausse des ventes.
Le revenu mensuel de ProductLift: Build Products Your Customers Actually Want est estimé à $660. Ce chiffre est une estimation, pas un revenu déclaré par l’entreprise ni un MRR vérifié par les paiements. Le modèle utilise les signaux disponibles du produit, du trafic et de SaaS comparables ; ses hypothèses restent incertaines.
La variation est de -6,2% par rapport à août 2026 (27 044 visites). Il s’agit de visites estimées, pas d’utilisateurs uniques ni de clients payants. Une hausse du trafic ne prouve pas une hausse des ventes.
Les principaux pays d’origine des visites de ProductLift: Build Products Your Customers Actually Want sont : États-Unis (26,3%), Inde (9,6%), Viêt Nam (7,5%). Ces parts décrivent le trafic du site, pas la localisation des clients payants.
Aucune sélection suffisamment pertinente de SaaS similaires n’est disponible pour cette fiche. La proximité est évaluée à partir des descriptions, catégories et usages disponibles. Elle ne garantit pas des fonctionnalités ou des tarifs équivalents.
Les données du catalogue ont été mises à jour le 06/10/2026. Le dernier mois de trafic disponible est septembre 2026. Les périodes de trafic, dates de collecte et dates des sources de revenus peuvent être différentes.