MindarMindar
Use CasesCreator ProgramDownload
Sign upGet Started
MindarMindarAll guides
How-to6 min readJune 15, 2026

How to know if new evidence changes your conclusion

A claim-check workflow for analysts: compare new signals to your thesis, score materiality, and document thesis deltas — so recommendations update when they should, not when someone panic-refreshes headlines.

You will evaluate new signals against an explicit thesis, classify their materiality, and document whether your recommendation holds — using a repeatable claim-check workflow instead of gut feel.

The hardest moment in analysis is not finding new information. It is deciding whether the new information matters to a recommendation you already socialized. Teams either over-react to every headline or under-react until a client forwards a competitor press release.

Prerequisites

  • A written thesis: recommendation + 2–3 supporting claims + assumptions
  • A list of thesis breakers you defined when you shipped the last brief
  • New evidence captured in your source library with date and source type

Steps

1. Restate the current thesis in three lines

Write:

  1. Recommendation:
  2. Primary supporting claims: (numbered)
  3. Assumptions we are not testing this week:

If any of these exist only in someone's head, stop and write them down first.

2. Classify the new evidence

For each new signal, tag:

Tag Meaning
Fact Verifiable event (launch, price change, filing)
Interpretation Analyst or press inference
Rumor Unconfirmed; treat as hypothesis

Only facts can directly break a thesis. Interpretations trigger a "verify" task, not an automatic pivot.

3. Map evidence to claims

Ask: Which supporting claim does this touch?

  • If none → immaterial for now (log it, do not rewrite the brief)
  • If one → run claim-check (Step 4)
  • If multiple → material — schedule a thesis review

4. Run claim-check against prior sources

For the affected claim:

  1. What did we believe before? (cite prior passage)
  2. What does the new source say? (cite new passage)
  3. Do they conflict, extend, or confirm?

Conflict → downgrade confidence on that claim; assess if recommendation still holds.

Extend → narrows uncertainty; update evidence bullet, not necessarily the recommendation.

Confirm → strengthens; note in weekly watch, no brief rewrite needed.

5. Score materiality

Use a simple gate:

  • High: Would change the client's decision or our recommended action
  • Medium: Changes a supporting claim but not the decision
  • Low: Interesting context, no thesis impact

Only high materiality triggers a revised recommendation before the next scheduled review.

6. Document the thesis delta

One paragraph, every time you run this workflow:

Thesis delta ([date]): [Holds / Weakens / Strengthens / Reversed]. New evidence: [one line]. Affected claim: [#]. Action: [none / update brief / call client].

This log becomes invaluable across long engagements — partners see judgment over time, not just the latest slide deck.

Verification

The workflow works when:

  • You can point to a thesis breaker that fired (or did not) when news broke
  • Materiality calls are documented, not debated from memory in Slack
  • Recommendations change before the client asks "does this still hold?"

Troubleshooting

Everything feels material. Re-read the decision statement — most news is context, not thesis-breaking.

Never update the thesis. You may have vague breakers; rewrite them as testable conditions.

Team disagrees on materiality. Resolve with the decision lens: would we change the recommended action?

Related resources

  • How to maintain competitive intelligence with AI
  • How to turn research into an executive brief
  • Analysts — hypothesis boards & claim-check skills

Try it in Mindar

Run this workflow on your own sources — libraries, analysis skills, and briefs in one workspace.

See analysts solutionGet started

Explore

  • Home
  • Creators
  • Download
  • Guides

Features

  • Mindar Agent
  • Content Factory
  • AI View
  • Library Plaza
  • Private Knowledge Base
  • AI Notes
  • Shared Brain

Solutions

  • Students
  • Teachers
  • Researchers
  • Creators
  • Analysts
  • Business

Research Guides

  • How to maintain competitive intelligence with AI
  • AI market research workflow for consultants
  • How to turn research into an executive brief
  • How to know if new evidence changes your conclusion
  • Best AI tools for market and strategy research
  • How to turn a meeting recording into action items

Comparisons

  • Mindar vs Genspark
  • Mindar vs NotebookLM
  • Mindar vs Notion AI
  • Mindar vs Otter

Company

  • Company Info
  • Contact
  • Support
  • Privacy
  • Terms

Mindar turns captured knowledge into organized, AI-ready work.