---
title: Remuneração Variável - O que são variáveis?
description: Entenda como funcionam as variáveis na Remuneração Variável da iup, os tipos fixas e dinâmicas e como usá-las no cálculo da RV.
---

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1. [Central de Ajuda da impulseup](https://suporte.impulseup.com/central-ajuda?hsLang=pt-br)
2. [Remuneração Variável](https://suporte.impulseup.com/central-ajuda/remunera%C3%A7%C3%A3o-vari%C3%A1vel?hsLang=pt-br)

# Remuneração Variável - O que são variáveis?

As **variáveis** são os elementos que compõem o cálculo da Remuneração Variável (RV).  
Elas funcionam como blocos de construção: cada variável traz uma informação que, combinada a outras, resulta no valor final que será pago ao colaborador dentro de um programa de bonificação ou incentivo.

Na prática, as variáveis podem ser de dois tipos: **fixas** ou **dinâmicas**.**Variáveis Fixas**

As **variáveis fixas** são constantes dentro do programa. Isso significa que a lógica da variável é a mesma para todos os colaboradores que participam do programa.

Exemplos:

- **Número de salários fixos** (ex.: todos recebem um bônus equivalente a 2 salários fixos).
- **Valor fixo de PLR** (ex.: R$ 5.000 para todos os participantes, desde que cumpram os critérios).
- **Percentual padrão** (ex.: 10% do salário do colaborador).

💡 Observação: apesar da regra ser igual, o valor final pode variar de colaborador para colaborador quando a variável usa um campo de referência (como o salário).![](https://s3.amazonaws.com/movidesk-files/99C81303FB3BF260E16563BE75BC7EB6?AWSAccessKeyId=AKIAWSRCTWGBHCVKCQGD&Expires=1784641372&Signature=7rcL93tfY88s736UkVcHCzF1L98%3D)

**Variáveis Dinâmicas**

As **variáveis dinâmicas** mudam de acordo com o desempenho individual ou coletivo.  
Elas estão diretamente ligadas a **metas**, **avaliações de desempenho** ou ainda ao **cadastro do colaborador** e, por isso, o valor pode ser diferente para cada participante.

### **🔹 Variáveis ligadas a ciclos de avaliação**

Quando a variável está relacionada a um **ciclo de avaliação**, você pode:

- Selecionar o ciclo de avaliação desejado;
- Definir critérios baseados nos resultados obtidos.

Exemplo:

- Se a nota for **menor ou igual a 84,5** → colaborador recebe **0,5 salário**;
- Se a nota for **maior ou igual a 85** → colaborador recebe **1,5 salário**.![](https://s3.amazonaws.com/movidesk-files/915325E806E799237090417A57CDEB53?AWSAccessKeyId=AKIAWSRCTWGBHCVKCQGD&Expires=1784641372&Signature=HLXIzAdHK7rAlc0U3MfooIdWzTs%3D)

ℹ️ Para saber mais, veja o artigo **[Como configurar variáveis integradas a avaliação](https://impulseup.movidesk.com/kb/pt-br/article/553545/como-configurar-variaveis-integradas-a-avaliacao?preview=true&revisionId=2310545&versionId=413959)**.

### **🔹 Variáveis ligadas a ciclos de metas ou OKRs**

Se a variável estiver relacionada a **metas ou OKRs**, você deve:

- Escolher o ciclo de metas no qual deseja se basear;
- Selecionar uma meta/OKR específica **ou** definir regras baseadas em critérios de atingimento.![](https://s3.amazonaws.com/movidesk-files/C87E4B94048510C763F1C3F87D3D4A4C?AWSAccessKeyId=AKIAWSRCTWGBHCVKCQGD&Expires=1784641372&Signature=5X9%2F%2BzYvALBVVZPgzpbIW1iwxWE%3D)

ℹ️ Para saber mais, veja o artigo **[Como configurar variáveis integradas a metas](https://impulseup.movidesk.com/kb/pt-br/article/553540/como-configurar-variaveis-integradas-a-metas?preview=true&revisionId=2310533&versionId=413943)**.

### **🔹 Variáveis ligadas ao cadastro do colaborador**

Outra forma de variável dinâmica é a baseada nos dados do **cadastro do colaborador**.  
Nessa configuração, você pode selecionar campos **monetários ou numéricos** já existentes no cadastro (como salário, tempo de casa, horas contratadas etc.) ou ainda definir critérios de acordo com esses dados.![](https://s3.amazonaws.com/movidesk-files/4E60599A163FE5CF62F703E8EA95C5AC?AWSAccessKeyId=AKIAWSRCTWGBHCVKCQGD&Expires=1784641372&Signature=VZ5SZMmM%2BbJS412JiKfAw7gEghE%3D)

**Onde as variáveis são usadas?**

As variáveis têm papel central em duas etapas da configuração do programa de RV:

- **Gatilhos de participação**  
  Exemplo: apenas colaboradores que atingirem **85% ou mais da meta de vendas** participam do programa.![](https://s3.amazonaws.com/movidesk-files/A351D55F47FA42E08FD97E0D9176D2B6?AWSAccessKeyId=AKIAWSRCTWGBHCVKCQGD&Expires=1784641372&Signature=qzJUWrHZ%2FenfC%2F505HPCDY25wXo%3D)

 

**Fórmula final de cálculo**  
Exemplo: Bônus = Salário fixo \* Resultado de metas de vendas![](https://s3.amazonaws.com/movidesk-files/1D12F6A7D1C95352D22405EF8661C8F3?AWSAccessKeyId=AKIAWSRCTWGBHCVKCQGD&Expires=1784641372&Signature=u5CxpUBhmUxJKWuCRxW3YXYgYBA%3D)

---

Imagine um programa que define o bônus como:  
**Bônus = 2 salários fixos \* Atingimento da meta**

- **Colaborador A**: salário fixo de R$ 2.000 e atingimento de 90%  
  → Bônus = **2 x R$ 2.000 x 90% = R$ 3.600**
- **Colaborador B**: salário fixo de R$ 5.000 e atingimento de 70%  
  → Bônus = **2 x R$ 5.000 x 70% = R$ 7.000**

Nesse exemplo:

- A variável **Quantidade de Salários** é **fixa** (mesma lógica para todos).
- O **Percentual de atingimento** é **dinâmica** (muda para cada colaborador).

![](data:image/png;base64,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)

**Dicas para configurar variáveis corretamente**

- Use nomes claros para cada variável (ex.: **% Atingimento Vendas** em vez de apenas “Meta”).
- Sempre teste a fórmula antes de liberar o programa, simulando resultados para diferentes colaboradores.
- Documente os critérios para garantir transparência no processo.

​**Resumo:**

- Variáveis são os blocos que alimentam o cálculo da RV.
- Podem ser **fixas** (mesma lógica para todos) ou **dinâmicas** (mudam conforme metas, avaliações ou cadastro).
- São usadas para criar **gatilhos** e montar a **fórmula final** do programa.

**Caso tenha mais alguma dúvida, entre em contato conosco pelo e-mail suporte@impulseup.com.**

 

- [Avaliação de Desempenho](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#main-content)
  
  
  
  
  
    - [Indicação de Pares](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#indica%C3%A7%C3%A3o-de-pares)
    - [Consenso](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#consenso)
    - [Relatórios](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#relat%C3%B3rios)
    - [N-Box e Calibração](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#n-box-e-calibra%C3%A7%C3%A3o)
    - [Devolutiva](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#devolutiva)
    - [Planilhas](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#planilhas)
    - [Acompanhamento](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#acompanhamento)
    - [Etapa 4](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-desempenho?hsLang=pt-br#etapa-4)
- [Pesquisas](https://suporte.impulseup.com/central-ajuda/pesquisas?hsLang=pt-br#main-content)
  
  
  
  
  
    - [Importação de participantes por planilha](https://suporte.impulseup.com/central-ajuda/pesquisas?hsLang=pt-br#importa%C3%A7%C3%A3o-de-participantes-por-planilha)
- [Learning](https://suporte.impulseup.com/central-ajuda/learning?hsLang=pt-br#main-content)
  
  
  
  
  
    - [Pesquisa de Satisfação](https://suporte.impulseup.com/central-ajuda/learning?hsLang=pt-br#pesquisa-de-satisfa%C3%A7%C3%A3o)
    - [Conteúdos](https://suporte.impulseup.com/central-ajuda/learning?hsLang=pt-br#conte%C3%BAdos)
    - [Cursos](https://suporte.impulseup.com/central-ajuda/learning?hsLang=pt-br#cursos)
- [PDI](https://suporte.impulseup.com/central-ajuda/pdi?hsLang=pt-br#main-content)
  
  
  
  
  
    - [Usuário Final](https://suporte.impulseup.com/central-ajuda/pdi?hsLang=pt-br#usu%C3%A1rio-final)
    - [Fluxo de aprovação](https://suporte.impulseup.com/central-ajuda/pdi?hsLang=pt-br#fluxo-de-aprova%C3%A7%C3%A3o)
- [Feedbacks](https://suporte.impulseup.com/central-ajuda/feedbacks?hsLang=pt-br)
- [Reuniões](https://suporte.impulseup.com/central-ajuda/reuni%C3%B5es?hsLang=pt-br)
- [OKR e Metas](https://suporte.impulseup.com/central-ajuda/okr-e-metas?hsLang=pt-br#main-content)
  
  
  
  
  
    - [Importação de Planilhas](https://suporte.impulseup.com/central-ajuda/okr-e-metas?hsLang=pt-br#importa%C3%A7%C3%A3o-de-planilhas)
    - [Ações e Iniciativas](https://suporte.impulseup.com/central-ajuda/okr-e-metas?hsLang=pt-br#a%C3%A7%C3%B5es-e-iniciativas)
    - [Fluxo de Aprovação](https://suporte.impulseup.com/central-ajuda/okr-e-metas?hsLang=pt-br#fluxo-de-aprova%C3%A7%C3%A3o)
- [Remuneração Variável](https://suporte.impulseup.com/central-ajuda/remunera%C3%A7%C3%A3o-vari%C3%A1vel?hsLang=pt-br)
- [Perfil 360º do colaborador](https://suporte.impulseup.com/central-ajuda/perfil-360%C2%BA-do-colaborador?hsLang=pt-br)
- [Pessoas](https://suporte.impulseup.com/central-ajuda/pessoas?hsLang=pt-br#main-content)
  
  
  
  
  
    - [Unificação de Usuários](https://suporte.impulseup.com/central-ajuda/pessoas?hsLang=pt-br#unifica%C3%A7%C3%A3o-de-usu%C3%A1rios)
    - [Administrador](https://suporte.impulseup.com/central-ajuda/pessoas?hsLang=pt-br#administrador)
- [Termos e Políticas](https://suporte.impulseup.com/central-ajuda/termos-e-pol%C3%ADticas?hsLang=pt-br)
- [Suporte e Serviços](https://suporte.impulseup.com/central-ajuda/suporte-e-servi%C3%A7os?hsLang=pt-br)
- [IAp](https://suporte.impulseup.com/central-ajuda/iap?hsLang=pt-br)
- [Avaliação de Experiência](https://suporte.impulseup.com/central-ajuda/avalia%C3%A7%C3%A3o-de-experi%C3%AAncia?hsLang=pt-br)
- [Ações e Iniciativas](https://suporte.impulseup.com/central-ajuda/a%C3%A7%C3%B5es-e-iniciativas?hsLang=pt-br)
- [Integração](https://suporte.impulseup.com/central-ajuda/integra%C3%A7%C3%A3o?hsLang=pt-br)

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