Access real-time dashboards via the insights tab in groups. Simply add team members to any group to instantly include their introduction and network data in each group dashboard.
Bridge members use the following data to help them better understand their impact and adjust their strategies.
Who asked for the most introductions
Who did people most want to meet
Who was asked to make the most introductions
Who offered to make the most introductions
Introductions by stage
While not an NPS score, the Bridge feedback scores help indicate where introductions were great, ok or not great.
Bridge feedback scores give an early indicator of whether the initial introduction went well.
Export all of your activity for further analysis outside Bridge
Teams are using Bridge data as a starting point to understand the long term impact and outcomes of their introductions. They are using introduction and feedback data can be used to trigger deeper outcome analysis outside Bridge. Below are some examples of how teams are using Bridge in conjunction with other data to track and measure outcomes of their network activity
VC platform teams use Bridge data alongside fundraising announcements to attribute value.
For example, If Omers leads a $10m investment into ultimate.ai three months after your introduction then you teams are reporting that they helped their portfolio raise and additional $10M which increased their portfolio value to X.
Talent teams are assuming that accepted introduction between hiring managers and candidates results in a 30 minute first round interview
This means that every 10 intros creates 5 hours of interviews for their network
They then estimate how many candidates were probably hired using first round to hired conversion ratios for their network. They multiply this by average recruiter fees to determine how much money they have saved their networks. Some teams are estimating 7 figures in annual savings for their networks.
Other teams do follow up surveys every 6 months to determine actual hiring rates
Some talent teams use this data to measure and set targets around how many open positions they were able to help fill at their portfolio companies
Mentor networks can now see which mentors are in the most demand and also ensure they are not over loaded.
For example, if a mentor recently received 7 Bridge requests teams can decide whether to temporarily remove mentors from active mentor lists or wait a few weeks before forwarding any new requests.