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Prospects are landing in your List. Here’s what to check — and what to tighten if Guhan is picking the wrong people. Give discovery 20 minutes after you add the first source. Then start reviewing.

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The List detail page

Top of the page:
  • Today’s discovery — landed count + filtered count + running count
  • In-flight — how many are being processed right now
  • Enriched — how many have their LinkedIn profile fully pulled
Below:
  • Prospect table — every prospect in the List, filterable + searchable + exportable
  • Sources panel — every source feeding this List, with per-source counts
  • Sweep history — click any row → drill into that specific discovery run’s prospects

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The Filtered accordion

Every prospect Guhan considered but rejected shows here with a plain-English reason:
  • Wrong job title — their title didn’t match
  • Wrong location — outside your regions
  • Company / Page (not a person) — LinkedIn returned a Page or Company ID
  • Competitor employee — works at one of your competitors
  • Do Not Contact — on your DNC list
  • Already in your workspace — you’ve found them before
  • No reachable identity — no LinkedIn URL / email / phone
Read a few filtered prospects. If Guhan is rejecting people you think should qualify, one of your filters is too strict. Common finds:
  • Titles filter too narrow — expand with more variants
  • Location filter set to a city when you wanted the country
  • Industry set to a specific sub-category when a broader one fits
  • Hard gates too strict — flip industry or headcount from Required to Nice-to-have

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Prospect detail page

Click any prospect to open their detail page:
  1. Header — name, current title + company, LinkedIn profile link
  2. Fit chip — Strong / Moderate / Weak from Guhan’s research agent
  3. Research brief — the rich SDR-quality summary Guhan wrote about them (10-14 sentences of actual account research)
  4. Per-product fit breakdown — one row per product with its own tier + reason
  5. Contact channels — LinkedIn URL, email (or Reveal button), phone (Reveal button)
  6. Source panel — which source (search criteria / signal / competitor / CSV) brought them in
  7. Timeline — every message + reply + event (empty until you start messaging)
  8. Company card — their employer
Ask yourself: would I send them a personalized message right now?
  • Yes → they’re a good match. Keep them in the List.
  • No → they slipped through your filters. Options:
    • Add them to Do Not Contact so they don’t come back
    • Tighten the source’s hard gates
    • Just remove them from the List (right-click → Remove)

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Sort by fit tier

Every prospect table is sortable by Fit tier (Strong→Weak) — the default sort. Work your Strong prospects first, then Moderate, then decide whether to reach out to Weak.

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Common early surprises

The fit chip is doing its job — you probably have 20 Strong, 40 Moderate, 40 Weak. Work the Strong first. If the Moderate rate is too high, tighten your hard gates (add industry or headcount as required).
Your job titles filter is missing the seniority word. “Sales Director” isn’t the same as “Director of Sales” — they can match different LinkedIn results. Add explicit variants.
Your industry filter is too broad. “Software Development” catches all SaaS + non-SaaS software. Add a more specific sub-industry OR add a signal source that narrows further.
Normal — LinkedIn hides emails by default. Guhan reveals them at send time (costs 4 credits per reveal) OR you can enable auto-reveal at landing (Settings → Auto-reveal, uses more credits per landed prospect).
Your filters are too strict. Loosen a signal, remove HQ country filter, or add more title variants. Check the Filtered accordion — if it shows N filtered, your filters are running but rejecting everyone.

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After the first few discovery runs

Once you’ve seen 50–100 prospects:
  • Mostly Strong fits? → do nothing, let it run daily.
  • Mostly Moderate? → tighten your hard gates (make industry or headcount required).
  • Mostly Weak? → your source’s WHO panel doesn’t match your real ICP. Rewrite the search criteria from scratch, or add a signal source that filters more tightly.

How Guhan scores prospects

The fit chip and the hard gates.

Prospect pipeline

The full flow from search to landed.