Commenting Feature Launch

01 | The Overview

When The Dallas Morning News set out to rebuild its commenting experience, the goal wasn’t just to add a feature. It was to build community, grow engagement, and convert anonymous readers into loyal, known users.

As Senior Product Manager, I led the strategy, rollout, and optimization of our new commenting platform, powered by Viafoura, from concept to measurable business impact.

02 | The Problem

Before launch, 98% of readers were anonymous, consuming content passively with little reason to return or subscribe.
We lacked a safe, modern space for readers to discuss stories, and without that engagement, we missed out on:

First-party user data to drive personalization
Ad revenue opportunities tied to engaged sessions
Retention loops that build long-term loyalty

Challenge: design a commenting experience that deepened reader relationships while converting unknown users to known users.

03 | Strategy & Alignment

Retention
Keep subscribers and registered users active for 6+ months.

Engagement
Increase return visits and time spent on articles.

Data Growth
Collect first-party insights (names, interests, habits) to power personalization.

04 | Experience Design

In collaboration with design, engineering, and sales, we mapped every user state and interaction, from anonymous visitor to engaged commenter, creating frictionless flows that balanced ease with verification:

Inline registration modals triggered at the moment of engagement
Automatic updates to user profiles (first/last name) within native user profile
Personalized notifications for replies and trending threads
Email confirmation and moderation feedback loops

05 | Phased Rollout

To manage risk and learn iteratively, I built a phased rollout plan:

• Q1: Launch on 1 section. Monitor engagement and time spent on moderation.
• Q2: Once success metrics are hit, launch on 3 additional sections.
• Q3: Site-wide expansion and launch on app.

Each release was paired with:

✓ Sentiment and toxicity monitoring
✓ Ad performance tracking
✓ Moderator calibration and policy refinement

06 | Optimization

Once live, I partnered with analytics to evaluate performance. We also refined moderation rules (removing 100+ unnecessary banned words) and improved automoderation precision. This ensured a civil, inclusive environment that encouraged participation.

The Transformation

+1,209%

Total Comments

+625%

Unique Commenters

+917%

Articles with Comments

Additional Key Outcomes

80% of comments automatically moderated
Toxicity rate <1%, with overall positive net sentiment (+0.074)
Ad revenue up 50%+ month-over-month, outperforming all other placements
Commenters averaged 3 pageviews per visit, driving measurable retention

05 | Transformational Impact

-> For users: commenting turned reading into a social, rewarding habit.
-> For the newsroom: richer community dialogue and story feedback loops.
-> For the business: stronger first-party data, improved ad performance, and a foundation for future engagement features.

Before & After Snapshot

Anonymous audience -> Registered, active community
No on-site conversation -> 2,000+ monthly comments
Minimal user data -> Rich first-party engagement signals
Flat ad performance -> 50%+ MoM ad revenue growth
Limited retention tools -> Habit loops via notifications & follows