Product

A practical guide for Product teams (PMs, PMMs, UX researchers) to use Trigify for market research, roadmap validation, and customer insight collection.

1) Feature Request Mining

Objective: Capture organic user requests across channels to inform roadmap.

Signals:

Feature Request – [Area]

“Wish it had” Mentions

Gap vs Competitor

Workflow:

Trigger: Post Created (Reddit, Business Network, YouTube comments)

Agents: General Agent extract request themes; Sentiment Agent classify urgency/positivity

Flow: Loop through posts; group by feature bucket

Integrations: Airtable/Notion (Feature DB), Slack digest

Metrics: Requests per theme, Volume trend, Roadmap alignment rate

2) Competitor Product Feedback Tracker

Objective: Collect unfiltered competitor product feedback for positioning and differentiation.

Signals:

Negative Competitor Feedback

Competitor Feature Confusion

Workflow:

Trigger: Post Created (Reddit subs, YouTube reviews, Podcasts)

Agents: Sentiment Agent flag negative; General Agent cluster issues

Integrations: Notion (competitive intel doc), Slack #product-marketing

Metrics: Top competitor issues, Share of Voice (negative vs positive), Messaging adjustments shipped

3) Customer Pain Point Discovery

Objective: Aggregate real-world customer pains to refine personas and prioritize problems.

Signals:

Pain Theme – [Topic]

Objection – Pricing/Onboarding

Workflow:

Trigger: Scheduled (weekly)

Agents: Loop posts → General Agent cluster pains; Sentiment Agent score severity

Integrations: Airtable (Persona DB), HubSpot (persona field update), Slack digest

Metrics: Frequency of top pains, New pain discovery, % roadmap items tied to pains

4) Usability Feedback Collection

Objective: Collect direct UX commentary from users on forums and social.

Signals:

Usability Complaint

Workflow Friction

UI/UX Praise

Workflow:

Trigger: Post Created (Reddit, X)

Agents: Sentiment Agent classify positive/negative; General Agent extract UX details

Integrations: Notion (UX Research board), Slack #design-feedback

Metrics: UX issues logged, Design iterations influenced, Sentiment change post-fix

5) Market Trend Radar

Objective: Detect macro trends shaping product direction.

Signals:

Emerging Topic – [Keyword]

Rising Phrase Velocity – [n/week]

Workflow:

Trigger: Scheduled (daily/weekly; Enterprise = hourly)

Agents: Loop posts → General Agent analyze growth rates; Copy Writer Agent draft internal brief

Integrations: Notion (roadmap ideas), Slack digest, HubSpot (tag accounts)

Metrics: Trends detected/month, Trend→roadmap items, Time-to-detection vs competitors

6) Roadmap Validation via Engagement

Objective: Validate roadmap priorities by tracking interest in themes.

Signals:

Engagement on Topic Posts (your own or influencers’)

Positive Sentiment on Proposed Feature Discussion

Workflow:

Source: Profile Engagement (brand, execs, thought leaders)

Trigger: Webhook (new engagement)

Agents: General Agent classify by feature area; Sentiment Agent confirm tone

Integrations: HubSpot (engagement tagged), Slack digest

Metrics: Engagement volume per roadmap theme, Positive/negative ratio, Feature validation rate

7) Post-Launch Feedback Loop

Objective: Capture product feedback in the days after launch.

Signals:

  • Launch Mention – Brand

  • Bug/Issue Mention

  • Positive Launch Sentiment

Workflow:

  • Trigger: Post Created (all sources)

  • Agents: Sentiment Agent classify; General Agent aggregate bug reports

  • Flow: IF bug → Jira via HTTP; IF positive → Slack #launch-wins

  • Integrations: Slack war-room, Jira (issue creation), Notion (launch log)

Metrics: Post-launch bug count, Positive/negative ratio, Launch CSAT proxy

8) Voice of Customer Repository

Objective: Build a searchable database of raw customer voice.

Signals:

  • Any Product-Related Mention

  • Pain, Feature Request, Positive Experience

Workflow:

  • Trigger: Post Created

  • Agents: General Agent extract structured data (theme, role, company)

  • Flow: Loop → append to DB

  • Integrations: Airtable/Notion (VOC DB), Slack (weekly highlights)

Metrics: VOC records collected, Queries run by PMs, Features tied to VOC evidence

9) Competitive Roadmap Watch

Objective: Monitor competitor announcements to anticipate moves.

Signals:

  • Competitor Launch Mention

  • Competitor Hiring in Product/Eng

Workflow:

  • Trigger: Post Created (Business Network, News, Podcasts)

  • Agents: General Agent summarize; Sentiment Agent gauge reception

  • Integrations: Slack #comp-intel, Notion (roadmap tracker)

Metrics: Competitor launches logged, Time-to-awareness, Counter-features planned

10) Product Marketing Enablement

Objective: Equip PMMs with user quotes, trends, and competitor insights for messaging.

Signals:

  • Positive Experience Quote

  • Negative Competitor Mention

  • Rising Trend Topic

Workflow:

  • Trigger: Post Created

  • Agents: General Agent extract quote/context; Copy Writer Agent draft message guidance

  • Integrations: Slack #pmm-content, Notion (messaging board), HubSpot (attach to campaigns)

Metrics: Quotes harvested, Messaging docs created, Campaign lift with VOC proof

Attribution & Insight Loop

Objects & fields:

  • Feature DB: Theme, Signal Count, Sentiment Avg, Source

  • Roadmap Item: linked to Signals (ID list)

Process:

  • Signals → DB → Roadmap decisions

  • Track % roadmap backed by signals

  • Show board-level reporting on evidence-backed prioritization

Implementation Tips

  • Use scheduled triggers to batch insights rather than spamming daily updates.

  • Dedicate separate Slack channels (#comp-intel, #pain-points, #launch-feedback).

  • Always enrich signals with role/company to see if feedback is from ICP or outlier.

  • Remember: Profile Engagement = 7-day active sync; reposts not collected.