Issue There is currently no filter to identify conversations that have had a recent outbound interaction. This creates a problem when a customer wants to replicate the behavior of the “Outgoing” tray available in Tray V2. The most obvious case occurs with conversations whose origin was inbound, but which later expired and were reactivated by sending a WhatsApp template. Although the last relevant interaction is an outbound action performed by an agent, the conversation is still classified as an inbound source, so it's not possible to locate it using the current source filters. Context Nowadays there are different actions that represent outbound activity within a conversation that are not necessarily new conversations, but follow up on open conversations over a period of time, mainly: Sending individual templates. Reactivating conversations using WhatsApp templates. Other actions initiated by an agent that generate an outbound interaction. However, custom views only allow you to filter by the source of the conversation and not by the existence of recent outbound activity. As a result, operational teams cannot build a view equivalent to the Outbound tray, making it difficult to track reactivated conversations and contacts that were proactively reached. Proposal Incorporate a new filter for personalized views that allows you to identify conversations that have had recent outgoing activity, regardless of how the conversation originated. Some examples of implementation could be: Last interaction = Outbound. The conversation contains outbound activity. Recent outgoing activity = Yes/No. The specific implementation is at the discretion of the Product team, as long as it makes it possible to differentiate conversations that have received outbound actions from an agent or system. Use Cases Replicate the functionality of the Outbound tray through customized views. Follow up on reactivated conversations with WhatsApp templates. Facilitate the monitoring of campaigns or manual follow-ups carried out by agents. Allow operational teams to build views based on recent activity and not just on the source of the conversation. Impact The absence of this filter limits the flexibility of personalized views and forces teams to review conversations manually to identify those that were reactivated or proactively contacted.