Lessons Learned from Alidaโs Q3 Product Showcase
Across industries, research teams are often running into the same recurring obstacles that limit the impact of their work.
- Research processes and data are often fragmented, making it hard for organizations to get a complete view of their customers.
- Recruiting participants can be difficult or inconsistent, which risks delays or skewed results.
- And even when research generates valuable insights, they donโt always reach the right stakeholders at the right time, leaving opportunities on the table.
To help teams overcome these exact challenges, our Q3 Product Showcase introduced three new platform capabilities designed to streamline workflows, provide ongoing access to the right participants, and make insights easier to share across the business including extended unmoderated UX tools, new audience sample type options, and new AI-powered workflows. Hereโs how each of these tools helps tackle these common research roadblocks:
Roadblock 1: Fragmented Processes & Data
Disconnected workflows and siloed tools make it very difficult for teams to scale their research and inevitably slows them down, leaving on average 20 hours per week in lost productivity. The solution: Unmoderated UX Tools.
Our expanded unmoderated UX offering brings the full breadth of Alidaโs research methodologies into one integrated workflow. Teams can now run more focused studies with their preferred audiences, combining screen recording with Figma prototype testing directly within the platform. This makes it easier to test and validate designs earlier and more often, while keeping all historical, survey, and interview data in one place. The result is faster research and higher-quality analysis without the friction of switching between tools.
Roadblock 2: Imperfect & Inaccessible Participants
Recruiting the right participants is one of the toughest challenges in research. Access can be limited, recruitment often takes longer than planned, and too many samples fail to truly represent the target audience. Studies show that up to 40% of third-party sample data can be unreliable, whether that be due to bots, inattentive respondents, or people gaming the system. The solution: Giving researchers access to multiple audience types so they can always connect with the participants who best fit their goals.
With our new expanded market sample options, researchers now have greater flexibility to connect with the right participants for each study. While customer communities remain a great option for deeper insights, when teams need broader input, like comparing the voice of the market with the voice of the customer, general population samples are the better fit. By extending our panel reach, researchers can connect with the right audiences at precisely the right moments.
Roadblock 3: Lack of Access to Insights
Too often, insights get buried in silos, making it difficult for decision-makers to act quickly or making it difficult for more teams across the business to have access to customer insights. In fact, poor collaboration and lack of access to insights can lower success rates by 15โ20%. The solution: AI-Powered Workflows.
Our new AI capabilities bring intelligent assistance directly into the research process, helping both researchers and non-researchers create clear, actionable narratives faster. With real-time guidance from Alidaโs AI Assistant, teams can interpret data, summarize findings, visualize trends, and surface opportunities more effectively than ever before.
These tools help move seamlessly from a stakeholderโs question to a ready-to-share answer or narrative. Theyโre designed to take care of the first draft, whether itโs an initial analysis, a report summary, or a set of recommendations, so teams can focus on the high-value moments of research like engaging with customers, collaborating with stakeholders, and championing insights across the business. For example, the AI Assistant can generate a first-pass report by surfacing key issues, highlighting patterns, and providing a high-level view of results to guide deeper analysis.
Additional new AI-powered features include:
- Follow-up: Validate open-ended responses and automatically ask for more detail when answers are incomplete or vague.
- AI Copywriter: Drafts content so you can focus on refining and finalizing, not starting from scratch.
Together, these capabilities position AI as a true research teammate. freeing users to focus on strategy and impact rather than repetitive tasks.
Whatโs Next? Investing in the Future of Research
The innovations launched this quarter are just the beginning. Coming soon, youโll see mobile screen recording added to our unmoderated UX capabilities, expanded research methodologies like close card sort and tree testing, and more embedded AI workflows to accelerate time to insights.
Weโre also building toward intelligent orchestration where AI handles the heavy lift of first-draft tasks across the research process, freeing researchers to focus on what matters most. Future updates will include enhanced AI assistance, copywriting abilities directly embedded into emails, and smarter audience group building to instantly connect teams with the right customers through a simple search.
With these investments, our goal isnโt just to give you tools, but to help you build a truly research-driven culture, where insights are always accessible, decisions are always informed, and researchers have a trusted partner in driving impact across the business.
If youโd like to learn more and see our new innovations in action, watch the Q3 Product Showcase on demand.
