Keep CRM records up to date as conversations change.
Signal suggests CRM changes from customer conversations. Sellers can review the evidence and update records from the tools they already use.
Problem
Customer conversations change before CRM records do.
Sellers learn about deal changes through emails, meetings and notes. Updating the CRM means switching tools and entering those details again. I designed Signal to let sellers review and save changes from the conversation itself.
Approach
Suggest updates alongside the conversation.
Signal proposes a CRM action when a conversation contains new information. The seller can check a field change, add a stakeholder or review a new record before saving it.
and proposes a CRM change
Solution
Fit the suggestion to the tool the seller is using.
I adapted the same review pattern for email, meetings, notes and CRM. Each version uses the space and interactions available in that tool.
The CRM update appears inside the surface where the work is already happening.
Design decisions
Show the proposed change and its evidence.
Before accepting an update, the seller can see what will change, where the information came from and which record it affects.
“The $450K budget has been approved.”
Meet Alex, a seller moving through a busy day
The walkthrough follows Alex through a working day. Each conversation tests a different way to capture a deal change and review it in context.
Sarah’s email reveals four updates the CRM does not know yet.
Alex can compare the four suggestions with Sarah’s email, then choose which changes to save.
A coffee before the next customer conversation.
Alex prepares for a customer meeting. This part of the prototype tests how Signal proposes an update during a live conversation.
Signal proposes a new opportunity for Alex to review.
During a meeting with Asteron, the conversation shifts from exploration to a real rollout. Signal recognizes that the CRM is missing the deal and proposes a new opportunity while the context is still fresh.
Later that evening, Alex meets a customer in person.
As he walks out, the conversation is still fresh. Alex records a quick voice note to capture what was agreed. Once the note is saved, Signal recognizes that the deal has moved forward and brings the next CRM update to him.
Alex saves a voice note after the meeting.
On a work-managed iPhone, Alex can use Siri to save the meeting note without opening the CRM app. Signal uses the connected work context behind the scenes. When the note contains evidence that the deal has progressed, it brings the relevant CRM update to Alex.
Alex finishes where the record lives.
By the time Alex opens the CRM, most of the day is already captured. Signal and the other agents have kept records current; Alex only reviews what still needs judgment.
The CRM prototype shows how Signal fits into the wider product.
For the CRM prototype, I designed the opportunity workspace and record experience around Signal. Sellers can review agent updates, check their evidence and undo a saved change.
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Review what Signal changed — then undo it.
Open Asteron, review an update, accept it, then undo it to see the CRM stay synchronized.
How I would measure the design.
I would measure Signal on whether it reduces seller admin while improving the freshness and completeness of the system of record.
Review deal changes across the seller’s day.
The prototypes use the same review pattern across email, meetings, notes and CRM. Each suggestion carries the proposed change and its evidence, so sellers can pick up a review in another tool.



