Developing a plate repository from 0 -> 1 to enable 500+ scientists to identify, learn about and select labware

ROLE

Product Design Intern

User Research, Usability Testing, Wireframing, Card Sorts, Visual Design, Prototyping

DURATION

Jun 2023 - Aug 2023

TEAM

Product Designers

Product Managers

Automation Engineers

Software Engineers

AS THE FIRST PRODUCT DESIGN INTERN AT GINKGO…

I simultaneously designed the first plate repository enterprise software from 0-1 and created a new naming schema to help scientists identify their labware.

Both simplify the lab selection process by providing in-depth labware details that highlight key differences and similarities

IMPACT

After testing with 5 scientists, we discovered that our solution hit the mark!

And that says a lot!

AS THE FIRST PRODUCT DESIGN INTERN AT GINKGO…

I simultaneously designed the first plate repository enterprise software at Ginkgo and a new naming schema to help scientists identify their labware.

Both simplify the lab selection process by providing in-depth labware details that highlight key differences and similarities

100% task completion rate

when scientists were asked to find, select, and compare labware via user testing

“Just click use plate, right? I found that very easy.”

- Scientist

Enhanced findability

by introducing an expansive filter capability that helped scientists narrow down their search faster

Reduced labware errors

by creating a nomenclature that ensures scientists know exactly which labware they are selecting

"I know 'yeah, it'll definitely have this characteristic, this characteristic and that characteristic'. So I liked that."

- Scientist

Allowing for a seamless upload flow

so that automation engineers can spend more time configuring machines instead of trying to find scattered details about labware

BUT LET'S BACKTRACK…

PROBLEM

Scientists don't have an accurate source of truth for labware details, resulting in labware selection errors that damage experiments.

The result? Costly experiment replication, frustrated scientists, and unnecessary troubleshooting.

Labware characteristics can affect things like microbial growth, liquid transfers, and other processes.

This means they can vary in a lot of different ways, such as having different:

Well bottom geometry

Well # / well density

Well top geometry

USER RESEARCH

I talked with 4 different scientist personas that work closely with labware

This helped me unravel their individual user journeys and summarize my findings into 3 key pain points

Inconsistent naming schema

Confusion about what plate types exist

Digital plate selection doesn't match to a physical plate in the lab

An affinity map helped me understand what characteristics matter when selecting labware

As well as highlighting just how detrimental selecting the wrong labware can be.

"Every now and then… we find out that we thought a plate in [our system] was one plate and it turns out…it was not the right plate and there was a better plate type we could have been using.”

- Participant 2 | Operator

“There's a G sheet or Excel sheet now that was kind of put together….But like I said… you have to find that sheet, find your plate, open the data sheet and then like look at it there versus it just being in a table for you.”

- Participant 1 | Method developer

“If we want real quantitative OD data, then we'd have to use either a transparent plate for the culturing…or we would have to transfer our cultures from a 3 84 echo PP to a clear bottom plate.”

- Participant 8 | Method developer

And a journey map helped me tie all these data points together

I created 4 different maps for each persona I interviewed.

HMW STATEMENT

How might we get guide scientists to make the right labware selections?

How might we get guide scientists to make the right labware selections?

WITH A LABWARE REPOSITORY!

Easier labware selection means less time and money wasted on replicating costly experiments

This causes unnecessary friction for our customers and the businesses they are communicating with.

DECIDING ON OUR NAMING SCHEMA

I conducted a closed card sort to determine which characteristics are useful for scientists to know

I had 8 scientists group these characteristics into the following buckets:

I did a spreadsheet matrix to see the most prioritized characteristics to the least prioritized characteristics.

DECIDING ON OUR NEW SCHEMA

A/B testing helped us understand whether or not to keep or remove certain characteristics

We found that both versions we tested provided value for different reasons, so we combined the two together

VS.

Our two naming schemas that we tested with!

REASONS FOR IMPORTANCE

Well depth/volume tells us if it'll fit our experiment

Part # helps us locate it in the lab

ALIGNING WITH STAKEHOLDERS

Afterwards, I hosted a workshop with cross-functional teammates to align on the experience

This helped us understand what types of labware would be feasible to include in the repository (e.g plates) and allowed us to prioritize core features, such as filtering and comparison

MESSY SKETCHES TURNED TO REFINED PROTOTYPES

I went from quick sketches, to scrappy mid fidelity, to a clickable prototype that was user friendly and efficient

Continuous testing with scientists throughout each phase helped me understand how to maximize efficiency and reduce friction

Internship and project takeaways

Internship and project takeaways

How did I grow from this experience?

How did I grow from this experience?

Uncovered my appreciation for UX

This was my first internship in Product Design and working alongside such passionate people was a fulfilling experience that I'll cherish forever. To connect with people and make their processes easier- it's something I can see myself doing for a long time.

The power of collaboration

I'm always hungry for feedback and ways to improve, so I enjoyed working alongside a team where we could bounce ideas off each other, collaborate and learn together.

Ship fast and test faster

One thing I'd do differently would be to step away from being pixel perfect and instead prioritize user testing earlier on in the low fidelity stage. It would've saved time and allow me to come up with more ideas that I didn't initially anticipate having.

As a spoiler, if anyone else is ever looking for a great addition to their team and needs an original thinker and a great problem solver, Roshida brings all that and more. Having her with us this summer was a pleasure, and really moved the needle on the "plate selection" problem!

- Dave Philbin, Prev. Head of UX at Ginkgo Bioworks

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like what you see? let’s grow something impactful together!

or we can chat about which music you’re into, whatever works.

designed with matcha and love

©️ roshida herelle 2024

like what you see? let’s grow something impactful together!

or we can chat about which music you’re into, whatever works.

designed with matcha and love

©️ roshida herelle 2024

like what you see? let’s grow something impactful together!

or we can chat about which music you’re into, whatever works.

designed with matcha and love

©️ roshida herelle 2024