Introducing Research Objectives: Focused Analysis for Decision-Grade Research

Jan 19, 2026

Aaron Cannon

Modal showing how to define research objectives in an Outset usability study
Modal showing how to define research objectives in an Outset usability study
Modal showing how to define research objectives in an Outset usability study

Introducing Research Objectives: Focused Analysis for Decision-Grade Research

Outset’s AI-driven analysis already delivers what would have been unimaginable just a few years ago.

It synthesizes hundreds of interviews in minutes, surfaces patterns at scale, and gives research teams unprecedented depth and speed.

As research programs mature and stakes increase, the next challenge isn’t more power — it’s focus.

Senior research teams don’t just want comprehensive insights. They want insights that are clearly aligned to the questions a study is meant to answer and the decisions it’s designed to inform.

That’s why we built Research Objectives.

Modal showing how to define research objectives in an Outset usability study

The Opportunity: Aligning Insight to Intent

Experienced researchers begin every study with a clear point of view:

  • What decisions are at stake

  • What risks need validation

  • What success or failure would look like

Outset’s AI already surfaces rich, high-quality insights across interviews. Research Objectives build on that strength by making researcher intent explicit — so synthesis aligns more directly to the goals behind the study.

This isn’t about changing the depth of analysis.

It’s about ensuring that depth is applied in the right direction.

Research Objectives: Direction for Powerful Analysis

Research Objectives allow researchers to explicitly define what they’re trying to learn and use that intent to focus Outset’s existing analysis capabilities.

By capturing structured research objectives:

  • Interviews are synthesized with clear directional context

  • Key takeaways are framed around research goals

  • Highlights and evidence are prioritized based on relevance to decisions

The analysis doesn’t lose rigor or breadth — it becomes more precise and relevant.

How It Works

Researchers can add structured objectives:

  • At project creation

  • Or anytime from the Insights page

These objectives are treated as inputs to the analysis layer, guiding:

  • How insights are summarized

  • What evidence is surfaced

  • How takeaways are framed

The Insights page evolves from a comprehensive view of findings into a more decision-oriented synthesis — without sacrificing analytical richness.

Why This Matters for Research Teams

Faster alignment

Insights map directly to the questions that drive stakeholder consensus.

Greater confidence

Every takeaway is grounded in a clear research objective.

Less downstream work

Fewer cycles spent reframing, restructuring, or validating insights after the fact.

Research Objectives don’t replace researcher judgment—they give Outset the same context a trusted research partner would already have.

Precision at Scale

AI-moderated interviews unlocked scale.

AI-driven synthesis unlocked speed.

Research Objectives unlock focus.

About the author
Aaron Cannon

CEO - Outset

Aaron is the co-founder and CEO of Outset, where he’s leading the development of the world’s first agent-led research platform powered by AI-moderated interviews. He brings over a decade of experience in product strategy and leadership from roles at Tesla, Triplebyte, and Deloitte, with a passion for building tools that bridge design, business, and user research. Aaron studied economics and entrepreneurial leadership at Tufts University and continues to mentor young innovators.

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