diff --git a/static/talks/first-data-hire/index.html b/static/talks/first-data-hire/index.html
index 98b65630f..8a7f614c8 100644
--- a/static/talks/first-data-hire/index.html
+++ b/static/talks/first-data-hire/index.html
@@ -355,7 +355,7 @@
Relevant, informative questions
Past work: Deep on what they've done and why; current motivations especially relevant around why they want the role
Clarity of non-tech communication is especially important for first data hire (interfaces with rest of company)
Simple questions can be tested by non-techies (Google recruiter screen as example)
- Take-home task should be tightly time-boxed to reduce chance of cheating (CBA example)
+ Take-home task: tightly time-boxed to reduce chance of cheating (CBA example) OR completely live (let candidate choose)
Digging live into take-home work ensures they understand what they did (especially important with Chatty)
Paid trials & contract-to-hire: Depends on candidates; possible with a large qualified pool
@@ -407,7 +407,7 @@ Recap: Key takeaways
Story time?
-
- Car Next Door (now Uber Carshare):
+ Car Next Door (Uber Carshare):
- "Head of Data Science"
- Plenty of engineering and analytics