Agile research has evolved.
What began as automated concept testing has expanded into a broader ecosystem of specialized tools—each built for a different type of decision. While Zappi remains a strong option for fast, standardized quantitative testing, many CPG insights teams now rely on a mix of platforms depending on what they’re validating.
Today, research decisions typically fall into four categories:
The right platform depends on which decision you’re making—and how much risk is attached to it.
Zappi excels at speed and automation for standardized quant workflows. For many concepts and ad tests, that’s exactly what teams need.
However, as product cycles compress and consumer expectations rise, insights teams often require more than automated dashboards.
In particular, CPG brands may need:
Physical product research introduces complexity that digital-only platforms can’t fully address—coordinating sample fulfillment, aligning feedback to usage moments, recruiting niche consumers, and translating feedback into decision-ready narratives.
When those needs arise, teams look beyond purely automated tools.
Selecting the right alternative starts with clarity on your objective.
Ask:
Then evaluate the provider’s operating model:
In 2026, most high-performing CPG insights teams operate with an agile insights stack—choosing the right tool for each job rather than relying on a single system.
There isn’t a single “best” Zappi alternative — there’s a best solution for the decision you’re making.
Many agile tools are optimized for speed in standardized digital testing. That’s valuable. But for CPG brands, the highest-risk decisions often sit beyond concept scores and ad diagnostics. They hinge on how a product actually performs in someone’s home.
When the outcome depends on taste, scent, texture, durability, irritation, ease of opening, or repeated use over time, digital-only feedback can’t fully replicate real-world experience.
In 2026, the strongest insights teams build an agile stack — but they anchor it in real product validation when the stakes are physical.
Because ultimately, products don’t succeed in surveys. They succeed in kitchens, bathrooms, laundry rooms, and living rooms.
Best for: In-home usage testing (IHUTs), sensory research, and real-world product validation
Most agile research platforms focus on digital testing environments. Highlight is purpose-built for physical product research, especially for CPG products—where logistics, timing, and lived experience matter.
Highlight connects sample fulfillment, structured feedback collection, and real-time analytics into a single, coordinated workflow. Instead of separating shipping from survey execution, it synchronizes product arrival with diary prompts, usage tasks, and post-use evaluations—ensuring feedback happens in context.
When the business question depends on how the product actually performs—not just how it sounds—Highlight provides decision confidence that digital-only tools cannot replicate.
Best for: Rapid quantitative concept, claim, and messaging validation
Suzy is optimized for speed. Its always-on proprietary panel enables quick-turn quantitative answers, often within hours.
The platform is particularly effective for iterative decision cycles where teams need to compare multiple versions of messaging, packaging copy, or concepts in rapid succession.
Suzy excels when the decision is about messaging optimization—but it does not replace real-world product testing when performance is the variable.
Best for: High-stakes ad validation with benchmarking and predictive models
Kantar Marketplace provides enterprise-grade automated research backed by established methodologies and global norms.
For brands making significant media investments or operating across multiple markets, predictive validity and comparability become critical.
Kantar provides rigor and benchmarking. But for physical product decisions, it remains separate from the lived consumer experience.
Best for: Innovation screening and portfolio modeling
Upsiide is designed for early-funnel innovation decisions. Its mobile-first, swipe-based interface encourages rapid evaluation and trade-off simulation.
The platform is particularly useful when narrowing large idea pipelines or modeling cannibalization within a portfolio.
Upsiide helps decide which ideas to prototype. Highlight helps validate how the prototype performs in real life.
Best for: Scaled qualitative video insights
GetWhy automates AI-moderated video interviews to uncover emotional drivers behind consumer reactions.
It reduces the analysis burden typically associated with qualitative research by synthesizing themes, quotes, and sentiment automatically.
GetWhy helps explain why consumers react the way they do—but it does not measure how a product performs after repeated use at home.
Best for: Lightweight UX and packaging clarity testing
Lyssna is a budget-friendly platform focused on visual feedback and usability testing.
It’s commonly used for rapid clarity checks, prototype testing, and simple preference comparisons.
Lyssna is effective for visual feedback—but not for validating how packaging performs once opened and used repeatedly in the home.
Best for: Enterprise experience management and complex tracking programs
Qualtrics is a comprehensive experience management platform designed for continuous tracking across CX, EX, and brand programs.
It offers advanced survey logic, omnichannel collection, and deep customization.
Qualtrics supports enterprise-scale measurement. Highlight supports agile, operationally streamlined physical product validation.
In 2026, leading CPG teams don’t rely on a single research platform.
They build an agile insights stack.
Rapid quant tools help optimize messaging. Modeling tools help narrow innovation pipelines. Predictive systems help validate creativity.
But when the decision depends on how a product tastes, feels, opens, dispenses, or performs over time, the most confident decisions are grounded in real-world usage.
Because products don’t win in dashboards.
They win in homes.