Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Summary
The age of data is well underway. But using data to make better decisions is not as simple as one might hope. In this session, we'll take a look at some of the challenges that arise when we fail to build better data culture and what we can do as designers to fix it.
Key Insights
-
•
Good data culture requires intentional decisions about what data is collected and why.
-
•
Democratizing data access speeds up decision-making and reveals cultural issues when too difficult.
-
•
Human curation remains essential for data quality as AI can’t yet fully replace manual intervention.
-
•
Data storytelling shapes organizational culture and helps unify diverse interpretations of the same data.
-
•
Designers play a critical role beyond aesthetics by mediating between teams and aligning data practices.
-
•
AI’s current lack of context understanding leads to overconfidence and risk of missing nuance.
-
•
Transparency via data lineage tools is crucial to avoid black-box models and build trust in AI.
-
•
There is often tension between 'hard' quantitative data and 'soft' experiential insights in decision-making.
-
•
A mature data culture integrates data quality metrics with organizational norms and responsibilities.
-
•
Information architecture and shared terminology are vital to reduce confusion and promote healthy data culture.
Notable Quotes
"Data problems often end up being people problems because we're lazy, shortsighted, territorial creatures."
"We as people are our data, which means we have to treat data problems with care and consideration."
"Good data culture is intentional about the decisions we want to make and why."
"If people have to file requests and learn SQL just to get simple data, you have a culture problem."
"Data quality is multifaceted, subjective, and can't be reduced to simple profiles alone."
"AI isn't good at context yet; it may insist it's a B or a 13, but not that it could be both depending on view."
"No black boxes: AI needs to explain its answers just like people do to build accountability and trust."
"Most people will make the right decisions with data if they know the appropriate guidelines."
"Designers should act like therapists or journalists when negotiating political divides around data governance."
"The Power BI team succeeds with data because everyone on the team is obsessed with understanding customer behavior."
Or choose a question:
More Videos
"The epidemic of isolation is tied to digital design that creates connectivity without connection."
Daniel GloydDesigning Warmth
February 26, 2025
"Breaking enterprise into small segments lets you apply research methods effectively at scale."
Steve Portigal Chris Chapo Kelly Goto Christian RohrerDiscussion
May 13, 2015
"The way to fix a bad decision is several good ones after it."
Harry Max Jim MeyerPrioritization for Leaders (2nd of 3 seminars)
June 27, 2024
"Ops gives you the capacity to see your research within the whole system and all the moving parts that make it up."
Brigette MetzlerScaling ResearchOps: Helping Researchers do Their Best Work
March 30, 2020
"Without having these conversations and understanding each other, we wouldn't understand how this city really ran."
Jennifer KanyamibwaCreating the Blueprint: Growing and Building Design Teams
November 8, 2018
"Personal placemats give everyone time to think before sharing, increasing diversity of ideas."
Emilia Åström Jim KalbachUnlock Your Team’s Intelligence with Collaboration Design
June 9, 2022
"Field studies are the most powerful qualitative method available — nothing else compares for real-world insight."
Christian RohrerInsight Types That Influence Enterprise Decision Makers
May 13, 2015
"Being simple is extremely complex. Adding complexity is easy, but simplicity requires discipline and focus."
George Zhang Molly StevensUX Research Excellence Framework
March 11, 2021
"Sponsor sessions are free for anyone, whether you paid to attend or not, so invite your coworkers, friends, and family."
Bria AlexanderOpening Remarks
September 30, 2021
