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DeskDay
Soporte al Cliente · 16.9K visitas mensuales

DeskDay es una plataforma de Automatización de Servicios Profesionales (PSA) y Service Desk impulsada por IA, diseñada para MSPs y equipos de TI modernos. Optimiza el soporte de TI con un sistema de tickets multicanal (Teams, correo electrónico, móvil), un service desk conversacional, automatización de flujos de trabajo sin código y una asistente de IA integrada, Helena, para mejorar la productividad de los técnicos y la satisfacción del usuario.

VS
Risotto
Soporte al Cliente · 6.1K visitas mensuales

Risotto es una plataforma de automatización de la mesa de ayuda de TI impulsada por IA y creada para Slack. Unifica las operaciones de soporte, automatiza la resolución de tickets de Nivel 1 y agiliza la gestión de identidades y accesos (IAM). Al aprovechar la IA para aprender de su base de conocimientos y tickets anteriores, Risotto desvía las solicitudes comunes, proporciona soporte 24/7 y acelera la incorporación de empleados, todo dentro de su espacio de trabajo de Slack existente.

DeskDay vs Risotto: precios, funciones y tráfico

Compara DeskDay y Risotto por posicionamiento, precio, capacidades, tráfico y opiniones.

Actualizado 5 ago 2026

Resumen del producto

DeskDay Resumen del producto

DeskDay es una plataforma de Automatización de Servicios Profesionales (PSA) y Service Desk impulsada por IA, diseñada para MSPs y equipos de TI modernos. Optimiza el soporte de TI con un sistema de tickets multicanal (Teams, correo electrónico, móvil), un service desk conversacional, automatización de flujos de trabajo sin código y una asistente de IA integrada, Helena, para mejorar la productividad de los técnicos y la satisfacción del usuario.

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Risotto Resumen del producto

Risotto es una plataforma de automatización de la mesa de ayuda de TI impulsada por IA y creada para Slack. Unifica las operaciones de soporte, automatiza la resolución de tickets de Nivel 1 y agiliza la gestión de identidades y accesos (IAM). Al aprovechar la IA para aprender de su base de conocimientos y tickets anteriores, Risotto desvía las solicitudes comunes, proporciona soporte 24/7 y acelera la incorporación de empleados, todo dentro de su espacio de trabajo de Slack existente.

Preview

Detailed feature comparison

FeatureDeskDayRisotto
Categoría principalSoporte al ClienteSoporte al Cliente
Añadido2025-08-112025-08-12
PrecioFreemiumDe pago
Sitio oficialdeskday.comtryrisotto.com
Tipo de productoSitio webSitio web
Performance data
ValoraciónSin verificarSin verificar
Comentarios00
Visitas mensuales16.9K6.1K
Crecimiento mensual10.8%-1.5%
Favoritos102120
DetailsVer detallesVer detalles

DeskDay vs Risotto monthly traffic

Compare DeskDay and Risotto by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the DeskDay vs Risotto monthly traffic comparison, DeskDay currently shows 16.9K visits and Risotto shows 6.1K; DeskDay has about 2.8 times the visible traffic of Risotto, an absolute difference of about 10.8K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

DeskDay monthly traffic:

Latest traffic

Visitas mensuales
16.9K
Duración media
0:31
Páginas por visita
1.73
Tasa de rebote
41.64%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 5.3K Visitas mensuales
  • 2026/1: 11.2K Visitas mensuales
  • 2026/2: 13.2K Visitas mensuales
  • 2026/3: 13.1K Visitas mensuales
  • 2026/4: 15.3K Visitas mensuales
  • 2026/5: 16.9K Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States51.15%8.7K
🇮🇳India18.97%3.2K
🇬🇧United Kingdom12.2%2.1K
🇿🇦South Africa9.68%1.6K
🇵🇭Philippines8%1.4K

Palabras clave

deskdayhelena airmm toolssorry for inconveniencesorry for the inconvenience

Risotto monthly traffic:

Latest traffic

Visitas mensuales
6.1K
Duración media
0:18
Páginas por visita
1.73
Tasa de rebote
39.22%
Data updated 2026-06-11

Monthly traffic trend

  • 2025/9: 3.4K Visitas mensuales
  • 2026/1: 5.1K Visitas mensuales
  • 2026/2: 4.8K Visitas mensuales
  • 2026/3: 5.6K Visitas mensuales
  • 2026/4: 6.2K Visitas mensuales
  • 2026/5: 6.1K Visitas mensuales

Regiones principales

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States52.33%3.2K
🇬🇧United Kingdom15.25%931
🇮🇳India14.06%859
🇵🇰Pakistan9.77%597
🇦🇺Australia8.59%525

Palabras clave

hr ai tools risottomoveworksrisotto airisotto itrovo
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate DeskDay first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of DeskDay and Risotto

DeskDay Core features

Soporte al Cliente
Automatización de Flujo de Trabajo
Mesa de Ayuda

Risotto Core features

Soporte al Cliente
Automatización de Flujo de Trabajo
Automatización de Helpdesk

Use cases

DeskDay Use cases

Asistente de IA
Mesa de ayuda
automatización de flujo de trabajo
Soporte al cliente
Soporte de TI
Microsoft Teams
MSP
gestión de proyectos
PSA
Sistema de tickets

Risotto Use cases

Asistente de IA
Mesa de ayuda
automatización de flujo de trabajo
gestión de acceso
Chatbot
ChatOps
Soporte al empleado
IAM
Automatización de TI
ITSM
Integración con Slack
Gestión de tickets

DeskDay vs Risotto:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth DeskDay vs Risotto comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. DeskDay is primarily listed under “Soporte al Cliente”, while Risotto is primarily listed under “Soporte al Cliente”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Pricing (DeskDay: Freemium; Risotto: Paid); Monthly visits (DeskDay: 16.9K; Risotto: 6.1K); Monthly growth (DeskDay: 10.8%; Risotto: -1.5%); Favorites (DeskDay: 102; Risotto: 120); Website (DeskDay: deskday.com; Risotto: tryrisotto.com). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the DeskDay vs Risotto monthly traffic comparison, DeskDay currently shows 16.9K visits and Risotto shows 6.1K; DeskDay has about 2.8 times the visible traffic of Risotto, an absolute difference of about 10.8K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

If public market visibility is an important first-pass criterion, investigate DeskDay first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

DeskDay and Risotto currently overlap in shared categories: Soporte al Cliente y Automatización de Flujo de Trabajo; shared tags: Asistente de IA, Mesa de ayuda y automatización de flujo de trabajo. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

DeskDay's unique categories/tags are Mesa de Ayuda, Soporte al cliente, Soporte de TI, Microsoft Teams, MSP, gestión de proyectos, PSA y Sistema de tickets; Risotto's are Automatización de Helpdesk, gestión de acceso, Chatbot, ChatOps, Soporte al empleado, IAM, Automatización de TI e ITSM. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

DeskDay has no verified rating, 0 comments, 102 favorites, and 100 likes;Risotto has no verified rating, 0 comments, 120 favorites, and 125 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate DeskDay first

Put DeskDay on the priority trial list when the task aligns with “Soporte al Cliente” and especially Mesa de Ayuda, Soporte al cliente, Soporte de TI, Microsoft Teams, MSP y gestión de proyectos. This follows recorded positioning and does not imply unlisted capabilities are absent.

DeskDay also currently records: pricing is freemium, product type is website, 16.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Risotto first

Put Risotto on the priority trial list when the task aligns with “Soporte al Cliente” and especially Automatización de Helpdesk, gestión de acceso, Chatbot, ChatOps, Soporte al empleado e IAM. This follows recorded positioning and does not imply unlisted capabilities are absent.

Risotto also currently records: pricing is paid, product type is website, 6.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in DeskDay and Risotto, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Preguntas frecuentes

How should I choose between DeskDay and Risotto?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.