# Launch Plan — Smart Search

**Launch Date:** 2026-06-15 (40 days from generation)
**Launch Tier:** major
**Target Audience:** knowledge workers at mid-market companies
**Channels:** email, in-product, linkedin, x, blog, sales-enablement, internal
**Generated:** 2026-05-06 15:00 BST

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## Feature Summary

AI-powered semantic search across documents and conversations. Finds what you mean, not just what you typed.

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## Launch Plan (Positioning & Messaging)

### Positioning Statement

For knowledge workers at mid-market companies who waste 30 minutes a day searching for information, Smart Search is an intelligent retrieval layer that understands intent. Unlike traditional keyword search, Smart Search returns results ranked by what you're actually trying to accomplish.

### Messaging Pillars

1. **Find what you mean, not what you typed** — Search by intent, not exact words
2. **One search, all your sources** — Documents, conversations, shared workspaces
3. **Explainable results** — See why each result matched

### Key Benefits with Proof Points

| Benefit | Proof Point |
|---|---|
| Faster information retrieval | Internal beta: 60% reduction in time-to-find |
| Higher search success rate | Beta users: 85% find what they need on first search vs. 40% with old search |
| Less context switching | Single search interface replaces 4 separate tools |

### Use Cases by Persona

- **Product managers:** Find prior research on a topic across docs and Slack threads
- **Engineers:** Locate code examples and technical decisions in old discussions
- **Customer success:** Pull up customer history across emails, calls, and tickets
- **Marketing:** Find approved messaging and brand assets without asking the team

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## Content Drafts by Channel

### Customer Email

**Subject:** Find what you actually meant. Introducing Smart Search.

**Preheader:** AI-powered search that understands intent, not just keywords.

**Body:**

Hi [First Name],

We've all been there: you know you saw something three weeks ago, you can roughly remember what it was about, but the exact words you searched for return nothing useful.

Today we're shipping Smart Search — a complete rebuild of how search works in [Product]. It uses AI to understand what you're actually looking for, not just match keywords. Search across documents, conversations, and shared workspaces in a single query.

Three things you'll notice immediately:

1. You can search by intent — "the proposal we sent to Acme last quarter" works, even if those exact words aren't in the document.
2. Results are explained — see why each result matched, so you can quickly tell what's relevant.
3. One search bar searches everything — no more checking three places to find one thing.

Smart Search is rolling out to all customers over the next two weeks. You'll see the new search the next time you sign in.

Want to see it in action? [Watch the 90-second demo →]

Mohit
Head of Product

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### LinkedIn Post

The single biggest waste of time at most companies isn't meetings.

It's searching for things.

Documents you saw last month. Slack threads with key decisions. Customer history scattered across emails, tickets, and calls. The information exists. You just can't find it.

Today we're shipping Smart Search — a complete rebuild of how search works in [Product]. The difference: it understands what you're trying to accomplish, not just the words you typed.

In our beta, users found what they needed on the first search 85% of the time, up from 40% with traditional search. That translates to roughly 30 minutes a day per user back in their week.

Available to all customers over the next two weeks.

Curious how semantic search compares to what your team uses today? Happy to chat — DMs open.

---

### X / Twitter Post

Today: Smart Search is live for all [Product] customers 🔍

What changes:
→ Search by intent, not just keywords
→ One query searches docs, conversations, and shared workspaces
→ Every result explains why it matched

In beta: 85% first-search success rate (up from 40%)

Try it: [link]

---

### Blog Post (excerpt — first 400 words)

# Smart Search: Find what you mean, not what you typed

For the past 18 months, we've watched our customers struggle with the same problem: they know the information they need exists somewhere in their workspace, but they can't find it.

Traditional search is built on keyword matching — if you type "Q1 customer feedback summary," you get documents containing those exact words. That works when you remember the precise wording. It fails when you remember the gist but not the keywords.

We talked to 47 customers about this. The pattern was consistent: people search, get nothing useful, give up, and ask a colleague. Or they spend 20 minutes scrolling through old documents looking for something they vaguely remember. Or they recreate work that already exists because they couldn't find it.

Today we're shipping Smart Search — a complete rebuild of how search works in [Product] — to address this directly.

## What's different

Three substantive changes:

**1. Search by intent.** Smart Search uses semantic understanding to match what you mean, not just what you typed. "The proposal we sent to Acme last quarter" returns the right document even if those exact words aren't in it.

**2. One search across all sources.** Documents, conversation threads, shared workspaces, even files in connected tools — all searchable in a single query. No more checking three places.

**3. Results that explain themselves.** Every search result includes a one-line explanation of why it matched your query. Quick to scan, easy to tell what's relevant.

## What we measured in beta

We ran Smart Search in private beta with 220 users over 6 weeks. The metrics:

- **First-search success rate:** 85% (up from 40% with traditional search)
- **Time to find:** 60% reduction on average
- **User satisfaction:** 92% rated Smart Search as "significantly better" than the old experience

The biggest single jump was for searches where users couldn't remember exact wording — those went from 12% success to 78% success.

[Article continues...]

---

### Sales Enablement One-Pager

**Feature:** Smart Search
**Target buyer:** Operations leaders, knowledge management buyers, IT decision makers at companies with 200+ employees

**Top 3 Benefits:**
1. **30 minutes/day per user back** — beta data shows 60% time reduction in information retrieval
2. **Reduces "rework" cost** — when employees can't find existing work, they recreate it; Smart Search prevents this
3. **One search interface** — replaces 4-5 separate search experiences across the workspace

**Top 3 Objections + Responses:**

| Objection | Response |
|---|---|
| "We already have search" | "Traditional search is keyword matching. Smart Search understands intent. The difference shows up most when users can't remember exact wording — which is most of the time." |
| "How is this different from [competitor]?" | "Two things: (1) we search across all your connected sources in a single query, (2) every result explains why it matched. Most search tools require you to click through to figure out relevance." |
| "Will this work on our private data?" | "Yes — all processing happens in your workspace. No data is sent to third-party LLMs. Full SOC 2 Type II compliance." |

**Pricing:** Included in all paid tiers from June 15. No additional cost.

**Demo flow (5 minutes):**
1. Show old keyword search returning poor results for a fuzzy query
2. Show Smart Search returning right answer with same fuzzy query
3. Show cross-source search (one query → results from docs + Slack + tickets)
4. Show "why this matched" explanation
5. Show admin controls for what's searchable

**Internal contact:** Mohit Aggarwal, mohit@company.com

---

### Internal Launch Announcement

**Slack post in #all-hands or company-wide channel:**

We're shipping Smart Search to all customers on June 15 🎉

This is the biggest investment we've made in the platform this year. Three things to know:

**Why it matters:** 30 minutes/day per user back. Beta data shows 60% reduction in time-to-find. This addresses the #1 complaint in our annual customer survey.

**Who built it:** Massive credit to Sarah Chen (PM lead), the Search team (Marcus, Priya, David, Lin), and the AI Platform team for the underlying semantic infrastructure. 6 months of work.

**What you need to do:**
- **Sales:** New sales enablement one-pager is in [link]. Two new objection responses to know.
- **Support:** Help docs are updated. Common questions list in [link].
- **Marketing:** Coordinated launch across email, blog, and social on June 15.
- **Customer Success:** Outreach plan for top 50 accounts in [link].
- **Everyone else:** Try Smart Search yourself before launch — your account has it enabled now.

Questions: ask in #smart-search-launch.

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### In-Product Announcement (Modal)

**Headline:** Search just got smarter

**Body:** Find what you mean, not just what you typed. Now searches across all your sources.

**CTA:** Try it now / Not now

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## Content Calendar

| Date | Channel | Content | Owner |
|---|---|---|---|
| June 8 (T-7) | Internal | Internal announcement to company | Mo |
| June 10 (T-5) | Sales enablement | One-pager distributed | Mo + Sales lead |
| June 12 (T-3) | Customer Success | Top 50 account outreach starts | CS lead |
| June 15 (Launch day, 9am ET) | Email | Customer email send | Marketing |
| June 15 (Launch day, 9am ET) | Blog | Blog post live | Marketing |
| June 15 (Launch day, 10am ET) | LinkedIn | LinkedIn post | Mo |
| June 15 (Launch day, 10am ET) | X | X post | Mo |
| June 15 (Launch day) | In-product | Modal goes live for all users | Engineering |
| June 17 (T+2) | LinkedIn | Followup post: "What we learned in week 1" | Mo |
| June 22 (T+7) | Blog | Followup post: customer use cases | Marketing |
| July 1 (T+16) | Email | Adoption update + tips | Marketing |

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## Media Pitch

**Subject (for journalists):** Why we rebuilt search from scratch — case study in semantic search vs. keyword

**Pitch body:**

Hi [Journalist Name],

I've been following your coverage of [recent article on AI in productivity tools / similar topic].

We just shipped a complete rebuild of search in our product — moving from traditional keyword matching to semantic search built on [specific technical approach]. The interesting story isn't "we added AI" — it's the data on what changed:

- 85% first-search success rate vs. 40% with keyword (220-user beta over 6 weeks)
- 60% reduction in time-to-find
- The biggest gains were on fuzzy queries — searches where users couldn't remember exact words

Happy to walk you through the technical decisions, the surprising findings from beta (one is genuinely counter-intuitive), and access to a few customers willing to be quoted.

Available for a 30-minute conversation any time next week if useful.

Best,
Mo Aggarwal
Head of Product, [Company]

**Target journalists for outreach:**
- [Journalist 1] at TechCrunch (covers productivity SaaS)
- [Journalist 2] at The Information (covers enterprise software)
- [Journalist 3] at Protocol (covers workplace tools)

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## Success Metrics

### Leading indicators (Week 1 post-launch)

| Metric | Target | Source | Why it matters |
|---|---|---|---|
| Smart Search awareness (in-product modal CTR) | 35%+ | Product analytics | Did users notice? |
| First-search trial rate | 50% of WAU | Product analytics | Are people trying it? |
| First search success | 75%+ | Product analytics | Does it work? |

### Lagging indicators (Month 1 post-launch)

| Metric | Target | Source | Why it matters |
|---|---|---|---|
| Weekly active users of Smart Search | 60% of WAU | Product analytics | Becoming part of workflow? |
| Searches per active user per week | 8+ | Product analytics | Habit forming? |
| Old search usage decline | -50% | Product analytics | Replacement happening? |

### Quarterly indicators (Q3 2026)

| Metric | Target | Source | Why it matters |
|---|---|---|---|
| Sales win rate (deals where Smart Search was demoed) | +10% vs control | CRM | Helping us win? |
| Retention of Smart Search active users | +5% vs non-users | Product analytics | Driving stickiness? |
| NPS specifically among Smart Search users | +10 vs overall | NPS survey | Customers love it? |

### Failure indicators (investigate immediately if observed)

1. **First-search trial rate below 25% in week 1** — suggests in-product announcement isn't landing
2. **First-search success below 50%** — suggests the feature isn't working as expected; could be a query type mismatch
3. **Sales objections about hallucination/accuracy** — suggests positioning isn't addressing the AI concern adequately

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## Launch Checklist

### Pre-launch (T-14 to T-1)

- [ ] T-14: Engineering signoff on production readiness — Engineering Lead
- [ ] T-10: Beta feedback synthesised, blockers triaged — PM
- [ ] T-7: Internal announcement sent — PM
- [ ] T-7: Sales enablement one-pager finalised — PM + Sales Lead
- [ ] T-5: Customer Success briefing held — PM + CS Lead
- [ ] T-3: Top 50 account outreach drafted and reviewed — CS Lead
- [ ] T-3: Marketing assets finalised (email, blog, social) — Marketing
- [ ] T-2: Final QA pass in production — Engineering
- [ ] T-1: Go/no-go decision call — All leads
- [ ] T-1: Launch day runbook reviewed — All leads

### Launch day

- [ ] 09:00: Engineering deploys feature to 100% — Engineering
- [ ] 09:00: Email campaign sends — Marketing
- [ ] 09:00: Blog post publishes — Marketing
- [ ] 09:30: Verify all systems showing expected metrics — PM
- [ ] 10:00: Social posts publish (LinkedIn, X) — PM
- [ ] 10:00: Top 50 outreach begins — CS team
- [ ] 11:00: First metrics check (CTR on email, modal interactions) — PM
- [ ] 14:00: Mid-day metrics review — PM
- [ ] 17:00: End-of-day status report to leadership — PM

### Post-launch (T+1 to T+30)

- [ ] T+1: Day 1 metrics review and any rapid issues triaged — PM
- [ ] T+2: Followup LinkedIn post on early adoption — PM
- [ ] T+7: Week 1 metrics review and learnings doc — PM
- [ ] T+7: Followup blog with customer use cases — Marketing
- [ ] T+14: Week 2 metrics review — PM
- [ ] T+16: Adoption update email to customers — Marketing
- [ ] T+30: Month 1 metrics review and launch retro — PM
- [ ] T+30: Iteration plan based on month 1 data — PM

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*Generated by [PM Launch Agent](https://github.com/mohitagw15856/pm-claude-skills/tree/main/templates/pm-launch-agent) — fourth agent template in pm-claude-skills*

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> **A note on this draft:** This is the first draft from the agent. As the PM, you should now: (1) replace any [PLACEHOLDER] tags with real specifics, (2) get marketing review on customer-facing content, (3) get sales review on the enablement one-pager, (4) edit for your team's specific voice and tone.
