---
id: ins_why-does-product-matter-should
operator: Mariana Antaya
operator_role: 'Founder @ quantifAI | Building the decision intelligence layer for the prediction markets | ex-Microsoft AI PM'
source_url: https://www.linkedin.com/feed/update/urn:li:activity:7336471423714004995/
source_type: thread
source_title: 'From Intern to Year 2 Microsoft Product Manager 💼'
source_date: 2026-04-10
captured_date: 2026-05-02
domain: [hiring, leadership, strategy]
lifecycle: [hiring-team-design, strategy-bets]
maturity: frontier
artifact_class: research
score: { originality: 3, specificity: 3, evidence: 2, transferability: 4, source: 4 }
tier: B
related: []
raw_ref: raw/linkedin/reactions/linkedin-reactions-2026-04-10.md
---

# Why does your product matter should come through data. Your ability to frame your work
## Claim
From Intern to Year 2 Microsoft Product Manager 💼 Here's what I've learned after 2 years working in Big tech 1️⃣ AI isn't a side project, it's engrained in every part of the roadmap You should be posing questions to your team if they aren't leveraging AI tools or starting to incorporate it into your suite of products. It's our responsibility as a PM to lead these initiatives - if no one has brought it up, be the one to infuse the change. ✨

## Mechanism
Why does your product matter should come through data. Your ability to frame your work in measurable impact is what earns trust from your partner teams, leadership and ultimately reflect the value you bring to the table.

## Conditions
Holds when: the operating context matches the post's stated frame (team shape, stage, tooling, buyer type).
Fails when: the practice is lifted into a different stage or buyer context without reworking the underlying mechanism.

## Evidence
> "Why does your product matter should come through data. Your ability to frame your work in measurable impact is what earns trust from your partner teams, leadership and ultimately reflect the value you bring to the table."

· Mariana Antaya, LinkedIn, 2026-04-10

## Signals
- The team observes the pattern repeating across multiple cycles before naming it.
- Practitioners stop questioning the discipline once results compound.
- Skipping the step shows up as friction within one or two iterations.

## Counter-evidence
No opposing view in current corpus.

## Cross-references
- (none in current corpus)