Case studies
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Quizizz

Quizizz increases its feature adoption rate by 2.5X with Houseware

Quizizz is an interactive learning platform for classroom education headquartered in California — with a user base comprising over 80% of schools and 30% of teachers in the US. It went from an idea to 100 million+ users in 6 years. With this scale, the team’s data engine also scaled into a deep, contextual, and powerful source of business insights.

Before Houseware, product and business teams at Quizizz had to rely on analysts for insights and analyses to inform their big and small decisions. Visibility, experimentation, and explorations were taxed with the burden of human dependency. The leadership at Quizizz was quick to understand the signs: making product analysis self-serve could unlock massive business potential. This is where Houseware stepped in.

Big Query
Big Query
Custom SDKs
Custom SDKs
Houseware
Houseware
40%
of Quizizz team use Houseware
83%
Lower TCO than traditional product analytics tools
2.5x
Improved activation rate across new feature launches
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Product overview

An interactive learning platform for classroom education headquartered in California, Quizizz has a massive user base comprising over 80%of schools and 30% of teachers in the US. Understandably, they have also had the business and data pains that arise at that scale.


They went from an idea to 100 million+ users in 6 years and are currently focused on extending this trajectory by capturing international demand. Tasked with this is a team building a reliable growth engine and fine-tuning the product to delight the new user base.


As a result, data has become critical: to measure progress, surface opportunities, and experiment confidently. Today, Quizizz relies on Houseware for product analytics needs — helping their teams become more data-driven, efficient, and continually create value for the business.

"The activation rate for our features has more than doubled since we’ve started leveraging Houseware’s product analytics. Now that I am used to having insights on my fingertips, I would feel pretty crippled if Houseware was taken away from Quizizz.”
Image of Remo George Joseph, Growth Product Manager at Quizizz
Remo George Joseph
Product Manager, Quizizz
“If it were not for Houseware, we would have been at least a year behind in keeping up with the growth. At Quizizz, as we scaled, we needed to look for a product analytics solution that aligned with our philosophy of building the modern data stack. Houseware as a composable product analytics solution fits like a glove.”
Image of Parth Sood, Head of Analytics and Data Platform at Quizizz
Parth Sood
Product Analyst, Quizizz
“I used to maintain a Notion file with complex SQL queries for running analysis on BigQuery. I haven’t looked at it in months. Houseware has made analysis super simple for me.”
Image of Rajkishan Udapudi, Growth Product Manager at Quizizz
Rajkishan Udapudi
Product Manager, Growth, Quizizz

The challenge

Democratizing product analytics at scale without becoming slow and inefficient.

At the early signs of upcoming growth, Quizizz scaled its internal product analytics SDK to be battle-ready. Soon enough, though, analyzing this growing pool of event data to make any meaningful decisions became a massive challenge for product and design teams.

As a result, data has become critical: to measure progress, surface opportunities, and experiment confidently. Today, Quizizz relies on Houseware for product analytics needs — helping their teams become more data-driven, efficient, and continually create value for the business.

The impact

  • Sophisticated yet simple cloud-based analytics
    PMs were able to get started with Houseware in days and start leveraging the power of billions of events, simplified with an intuitive interface.
  • Comprehensive behavioural analysis
    Houseware, set on top of their warehouse, BigQuery helped Quizizz to fill the data gaps using a rich set of contextual user attributes.
  • Killing the data service desk
    Going self-serve allowed their analytics function to move away from the service mindset and focus on strategic initiatives instead.
"The activation rate for our features has more than doubled since we’ve started leveraging Houseware’s product analytics. Now that I am used to having insights on my fingertips, I would feel pretty crippled if Houseware was taken away from Quizizz.”
Image of Remo George Joseph, Growth Product Manager at Quizizz
Remo George Joseph
Product Manager, Quizizz
“If it were not for Houseware, we would have been at least a year behind in keeping up with the growth. At Quizizz, as we scaled, we needed to look for a product analytics solution that aligned with our philosophy of building the modern data stack. Houseware as a composable product analytics solution fits like a glove.”
Image of Parth Sood, Head of Analytics and Data Platform at Quizizz
Parth Sood
Product Analyst, Quizizz
“I used to maintain a Notion file with complex SQL queries for running analysis on BigQuery. I haven’t looked at it in months. Houseware has made analysis super simple for me.”
Image of Rajkishan Udapudi, Growth Product Manager at Quizizz
Rajkishan Udapudi
Product Manager, Growth, Quizizz

Journey to adoption

As soon as Houseware got the go-ahead from Quizizz, adoption was kick-started by doing a set of user interviews focused on understanding requirements. The outcome: product meetings, run end-to-end on Houseware.


In under two weeks, product managers felt confident to replace several of their manual analyses on Google Sheets and BigQuery with trusted Houseware dashboards.

"The activation rate for our features has more than doubled since we’ve started leveraging Houseware’s product analytics. Now that I am used to having insights on my fingertips, I would feel pretty crippled if Houseware was taken away from Quizizz.”
Image of Remo George Joseph, Growth Product Manager at Quizizz
Remo George Joseph
Product Manager, Quizizz
“If it were not for Houseware, we would have been at least a year behind in keeping up with the growth. At Quizizz, as we scaled, we needed to look for a product analytics solution that aligned with our philosophy of building the modern data stack. Houseware as a composable product analytics solution fits like a glove.”
Image of Parth Sood, Head of Analytics and Data Platform at Quizizz
Parth Sood
Product Analyst, Quizizz
“I used to maintain a Notion file with complex SQL queries for running analysis on BigQuery. I haven’t looked at it in months. Houseware has made analysis super simple for me.”
Image of Rajkishan Udapudi, Growth Product Manager at Quizizz
Rajkishan Udapudi
Product Manager, Growth, Quizizz

Benefits and outcomes

  1. Increased customer engagement

    As rapid experimentation on the product became a core priority for the Quizizz product team, measuring the outcomes of experiments was of utmost importance.

    Houseware helped Quizizz get clear visibility into its customers’ behavior patterns, further enabling the team to create informed initiatives and drive a significant uptick in engagement.

    In addition to getting rich insights, the Quizizz product team was also able to move fast — cutting down the time to understand customer engagement from weeks to hours. Being able to get ready access to the data, Product Managers started concluding more experiments successfully: seeing up to a 2.5x increase in user activation rate in one case.
  2. Improved product development

    With new insights surfaced by Houseware, Quizizz's product function was able to run initiatives with an even stronger conviction. Within weeks, Houseware became the de-facto place for the Quizizz team to analyze feature root-cause, run deep product dives, and plan release cycles based on user adoption trends.

    The team also launched "Paper Mode," a massively successful experiment born out of a core insight to drive international adoption in emerging markets.
  3. Increased sales and retention

    Being a product-led pioneer, Quizizz does not see product analytics limited to the product function. The analytics team quickly saw an opportunity to target prospects and existing customers based on their behaviors toward the product. Quizizz uses key adoption metrics to define customer health, leading to improved buyer engagement and increased user retention.

Houseware for Quizziz – in 3 quick steps

Step 1: Connect
Houseware and BigQuery
Step 2: Curate
Define data from existing SDKs or CDP
Step 3: Create
Houseware pre-aggregates the curated event streams for analytics consumption
Big Query
Big Query
Custom SDKs
Custom SDKs
OPEN DATA MODEL
Curated events
Pre-aggregates
Quizizz
houseware

The future: What’s next for Quizziz on Houseware

Quizizz’s journey on Houseware is just getting started. The team is excited about the potential of using product analytics as a central spoke to drive value across all revenue functions inside the organization.

Ashley Bloomquist, Senior Director, Customer Success at Quizizz, says, “We constantly uncover new insights about our users and customers. Houseware is fundamental in helping us get there. We are excited about the future where we drive proactive customer conversations and pre-empt behaviors with Houseware’s approach.”

Ready to get started?

Tell us about your product analytics challenges and we’ll show you exactly how Houseware can enable your team to do more with your product data.
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