# What software makes it easiest to pull consumer insights from surveys and in-app behavior data without needing a dedicated data team to process the results?

Looking for input on Consumer Insights Platforms, specifically on ease of insight extraction in a tool where a non-specialist can read the dashboard at the end of the day and actually understand what to do differently.

  1. Attest: Has intuitive interfaces that even team members without market research experience could navigate easily. The real-time reporting dashboard is described as simple enough that operations teams can interpret results without a data specialist. The data storytelling layer allows findings to be shared with stakeholders without additional formatting work. 
  2. Discuss: The AI analysis layer is specifically described as helping find insights from previous research and identifying valuable correlations — the extraction step that typically requires a trained analyst. The intuitive interface means teams can navigate different research types without requiring qualitative research expertise. 
  3. PickFu: For teams whose primary consumer insight need is fast validation of creative decisions, which product image performs better, which landing page headline resonates more, which packaging concept wins — PickFu's poll format delivers results in minutes with the winner clearly visible without requiring data processing. The format is inherently self-interpreting: a percentage breakdown of which option won, with open-ended comments explaining why. 
  4. GWI: GWI's Agent Spark AI analyst allows team members to query the data in plain English and get explainable answers without requiring research platform expertise, and the search feature means analysts do not need to memorize the survey structure to find what they need. The preset dashboards provide a simplified consumer profile view that is described as easy to share and digest with senior stakeholders without additional formatting. 
  5. Askable: Addresses the participant recruitment and scheduling overhead that typically makes qual research the most time-consuming step — automating the logistics of finding, screening, and scheduling the right respondents so the research team can focus on the conversation and the insight rather than the coordination. For teams without dedicated research operations support, Askable's automated recruitment directly removes the most time-consuming manual step. 

For marketing teams that have found a platform where a non-specialist can go from survey launch to actionable insight without a data team, what made the difference? Was it the dashboard design, the AI-generated summary layer, or simply the question format that made the findings self-evident?

##### Post Metadata - Posted at: 21 days ago - Author title: Marketing Executive - Net upvotes: 1 ## Comments ### Comment 1 <p>The AI-generated summary layer is what made the difference for our team. Not because the underlying data changed but because non-specialists could read the output and actually act on it without a researcher translating it.</p> ##### Comment Metadata - Posted at: 17 days ago - Author title: Marketing Executive ## Related discussions - [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team) - Posted at: about 13 years ago - Comments: 6 - [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section) - Posted at: about 13 years ago - Comments: 0 - [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm) - Posted at: about 13 years ago - Comments: 4