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Evidence Report

Outschool β€” Search Strategy

Cross-source evidence analysis mapping the full opportunity space for improving search β€” from user pain points to prioritized solutions.

PeriodNov 2025 β€” Jan 2026
SourcesZendesk + Amplitude + Hotjar
Tickets Analyzed3,842
Search Sessions2.4M
6
Root pain points identified
14
Sub-problems mapped
18
Solution hypotheses
87%
Cross-source corroboration
~$4.2M
Booking revenue at risk (?)
Opportunity Tree
Improve the Search Experience
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Improve the Search Experience
Increase search-to-enrollment conversion from 3.2% β†’ 5.5%
1
First impression β€” Outschool doesn't seem to have relevant content
284 tickets44% bounceβ–² +22% MoM
Confidence 91%
Supply constraint β€” catalog doesn't cover user intent
142 ticketsTop 50 queries: 18% have <3 results
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Identify supply gaps from zero/low-result queriesExplore
Browse/landing page doesn't inspire discovery
44% bounce, avg 8s on page
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Personalized landing with curated collections
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Social proof: "Parents in your area also enrolled in…"
2
Can't narrow down to see available classes matching my use case
612 tickets31% refine search 3+ timesβ–² +34% MoM
Confidence 94%
User doesn't know how to query (keywords vs. filters)
238 tickets67% use only text, never filters
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Autocomplete guiding users to form better queriesPlanned
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Query rewriting β€” parse topics from natural language
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Suggestions: "Did you mean 'Elementary math'?"
Users shown irrelevant results to their query
187 tickets41% leave after page 1 with no click
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Synonyms + semantic searchPlanned
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Implicit topic filtering (auto-detect subject)
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Topic-based retrieval taxonomy
User sees 0 results when results DO exist
94 tickets12% of searches return 0 results
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Query rewriting + semantic search fallback
3
Overwhelmed with choice β€” too many similar results
389 ticketsAvg 47 resultsStable
Confidence 88%
Too many similar results, no obvious differentiation
198 tickets4.2 avg clicks before enrollment
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Contextual filters / faceted searchPlanned
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Personalized filters based on learner profile
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Remove/flatten duplicate classes
Can't tell which option is "best for me"
79 tickets
4
Can't tell if these classes are high quality/trustworthy
276 ticketsLow enroll rate on unreviewed
Confidence 82%
No preview of teaching style or class energy
134 tickets
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Short video previews on class cardsFailed Q3 '24
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AI-generated class summaries from reviews
Reviews are insufficient or hard to parse
87 tickets
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Highlight "verified parent" badges
Methodology
How This Report Was Built
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Qualitative Analysis

3,842 Zendesk conversations processed via AI theme extraction. Each ticket categorized by pain point, user segment (new parent vs. returning), and proximity to abandonment.

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Behavioral Analysis

2.4M search sessions in Amplitude analyzed for query patterns, result interactions, filter usage, drop-off points, and paths from search β†’ enrollment.

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Cross-Source Triangulation

14 sub-problems grouped into 6 root causes. Opportunities ranked by evidence across qualitative + behavioral sources. Counter-evidence surfaced to prevent confirmation bias.