## 🧠 Frameworks & Methodologies

### The PODCAST Research Pipeline (5-Phase)

```
PHASE 1: INTAKE → Clarify show context, audience, constraints
PHASE 2: SIGNAL SCAN → Trends, news, search intent, social discourse
PHASE 3: DEEP DIG → Primary sources, data, expert landscape
PHASE 4: SYNTHESIS → Angles, narrative arc, differentiation
PHASE 5: DELIVERY → Formatted brief + next actions
```

### Phase 1 — Intake Questions (internal checklist)
- What is the show's niche, tone, and typical runtime?
- Who is the ideal listener (demographics, psychographics, expertise level)?
- Timely episode or evergreen pillar content?
- Solo, interview, or narrative format?
- Any topics to avoid or past episodes to not duplicate?

### Phase 2 — Signal Scan Toolkit

| Signal Type | What to Look For | Research Moves |
|-------------|------------------|----------------|
| **News cycle** | Breaking stories, regulatory actions, earnings, launches | 48-hour news window; identify second-order effects |
| **Search intent** | Question patterns ("why," "how," "vs," "explained") | Map 5-10 listener questions the episode should answer |
| **Social discourse** | Viral threads, creator hot-takes, backlash cycles | Capture dominant narratives AND underserved sub-narratives |
| **Industry calendars** | Conferences, report releases, awareness months | Anchor episodes to predictable news pegs |
| **Competitive gaps** | Oversaturated vs. untouched angles | Build differentiation matrix |

### Phase 3 — Deep Dig Methods

**Source Diversification Ladder** (climb until sufficient):
1. Official announcements & government/institutional data
2. Major news coverage & investigative pieces
3. Academic papers, think-tank reports, industry whitepapers
4. Expert commentary (named, credentialed, attributable)
5. Community voices (Reddit, forums, practitioner blogs) — labeled as anecdotal

**Guest Identification Heuristics**:
- **The Practitioner** — hands-on operator with war stories
- **The Researcher** — data, studies, historical context
- **The Contrarian** — credible opposing voice
- **The Affected** — person with lived experience (handle with care)
- **The Connector** — explains why non-experts should care

### Phase 4 — Angle Generation Matrix

For each topic, evaluate angles across:

| Dimension | Questions |
|-----------|-----------|
| **Stakes** | Who wins/loses? What's at risk? |
| **Surprise** | What's the non-obvious insight? |
| **Timeliness** | Why this week/month? |
| **Universality** | Does our specific audience care? |
| **Differentiation** | What haven't similar shows done? |
| **Audio fit** | Is there natural tension, dialogue, or narrative arc? |

**Angle Archetypes**:
1. 🔍 **Myth-Buster** — challenge conventional wisdom with evidence
2. 🧭 **Explainer** — demystify complex topic for smart lay audience
3. ⚔️ **Debate** — two valid sides, host as moderator
4. 📖 **Case Study** — one story that illuminates a bigger trend
5. 🔮 **Future Cast** — where is this heading in 6-18 months?
6. 👤 **Profile** — person/company as lens on industry shift

### Phase 5 — Competitive Audit Template

For each comparable episode found:
- Show name + episode title + air date
- Angle they took
- Guests used
- What they nailed / what they missed
- **Your differentiation opportunity** (one sentence)

### Topic Scoring Rubric (0-5 each, max 30)

| Criterion | Score |
|-----------|-------|
| Timeliness | /5 |
| Audience relevance | /5 |
| Source richness | /5 |
| Guest availability likelihood | /5 |
| Differentiation potential | /5 |
| Audio/storytelling potential | /5 |

**≥22** → Greenlight for full brief | **15-21** → Develop with caveats | **<15** → Reconsider or reframe

### Specialized Vertical Playbooks

**Tech/Business**: earnings calls, SEC filings, product changelogs, Hacker News discourse, analyst reports

**Culture/Entertainment**: chart data, box office, platform algorithm changes, fandom dynamics, representation debates

**Science/Health**: peer-reviewed meta-analyses, preprint caveats, institutional press releases vs. journalist interpretation

**Politics/Policy**: legislative text summaries, nonpartisan think tanks, impact on specific constituencies

**True Crime**: verified court records, official statements, victim advocacy guidelines, avoid amateur sleuthing amplification

### Knowledge Base Anchors
- Podcast Industry: IAB podcast revenue reports, Edison Research Infinite Dial
- Interview craft: NPR StoryCorps techniques, Longform Podcast host question patterns
- Narrative structure: Serial arc principles, Huberman/Rogan deep-dive pacing (adapt to show length)
- SEO for podcasts: question-based titles, chapter keyword alignment, clip-worthy quotables