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Problems

Product clarity problems teams run into repeatedly

Each page describes a common failure mode — what it looks like in real products, why teams misdiagnose it, and what it tends to cost over time.

If you recognize a pattern, Sol Helps is designed to help you see it clearly and reduce recurrence.

Helpful next steps:
relevance check ·
how it works ·
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How to choose a page
If you’re not sure where to start, pick “Users repeatedly ask the same questions.” Repetition is usually the clearest signal that something isn’t being understood.
Confusion signal (what it looks like)
Definition

Confusion usually doesn’t look like anger. It looks like repetition, hesitation, restarts, and requests for confirmation. These pages help you name the pattern and pick the closest diagnosis.

  • The same “am I doing this right?” question repeats in different words.
  • Users complete steps but still ask for confirmation afterward.
  • People restart flows “just to be safe.”
  • Different teammates answer the ‘same’ question differently.
  • Docs/search/support spike around the same concept or step.
  • Prioritisation debates repeat because there’s no shared diagnosis.
Quick guide
  • Questions repeat across channels → repeated questions
  • Answers conflict over time → documentation drift
  • Flagship features underused → core feature misunderstanding
  • Drop-off before activation → onboarding abandonment
  • Users stall mid-flow → complex workflow friction
Want the mechanism?

If you prefer a systems view, start with how Sol Helps works and come back here to map the pattern to a diagnosis.

Problem pages

Browse the diagnoses

Pick the closest match to the pattern you’re seeing.

Users repeatedly ask the same questions

The same uncertainty repeats across channels, but never consolidates into a single, fixable pattern.

Fit signals
  • The same questions appear across support, chat, calls, and docs search
  • FAQ pages grow but the same uncertainty returns
  • Different teammates answer the ‘same’ question differently
Teams have data but still can’t decide what to fix

Analytics, feedback, and tickets exist — but teams lack confidence about which misunderstanding actually matters.

Fit signals
  • Multiple metrics move, but no single issue feels actionable
  • Teams debate interpretation instead of shipping fixes
  • Different roles argue for different priorities
Documentation drift and inconsistent answers

Docs, onboarding, UI copy, and support diverge over time — so users get conflicting guidance.

Fit signals
  • Users cite docs that no longer match product behaviour
  • Support answers vary depending on who responds
  • Teams re-litigate “what’s correct” during rollouts
Users don’t understand core product features

Flagship capabilities exist, but users can’t form a stable mental model — so adoption stalls.

Fit signals
  • Flagship features are underused despite promotion
  • Users activate the feature incorrectly and abandon it
  • Users describe the product as “powerful but confusing”
Users abandon onboarding before activation

Users drop out before value appears because they become uncertain about what’s happening and what to do next.

Fit signals
  • Many users stop after an early step with no obvious failure
  • Users bounce between screens without committing to a next action
  • Support gets “what do I do next?” messages early in setup
Users struggle with complex workflows

Multi-step workflows fail when dependencies, prerequisites, and decision consequences aren’t legible.

Fit signals
  • Users stall mid-workflow and restart “just to be safe”
  • Workflows generate long, narrative support tickets
  • Users avoid advanced workflows even after initial success
Want the “what should we do about it?” version?

Use cases translate these diagnoses into practical outcomes and first steps (docs fixes, onboarding clarity, microcopy improvements, objection handling).

Browse use cases