Evidence-based thinking training teaches employees to judge claims before acting on them. It covers checking sources, reading charts and headline statistics, recognising AI-generated and doctored content, separating evidence from opinion in meetings and updating views when new evidence arrives. Bodhih's workplace-focused program is designed with the ADDIE model and customised to each team.
- Recommended: 1 day in person, or 3 × 2.5-hour live virtual sessions, plus a 30-day team sourcing habit
- Level: Foundation · In person · Live virtual · Blended
- Designed with the ADDIE model and customised to your context
- Offered by Bodhih since 2008 to 2,000+ organisations across 7 regions
Also known as: misinformation awareness training for employees, media literacy training for staff, claim checking workshop, deepfake awareness training
Where and how: evidence-based thinking training as an in-person workshop in Bengaluru, Mumbai, Delhi NCR, Gurugram, Hyderabad, Chennai, Pune, Kolkata, Ahmedabad and Jaipur; as a live online course; or delivered overseas in Dubai, Singapore and across the Middle East, Asia and Africa.
Last reviewed by Siddharthan VGJ, Founder · Bodhih Training, Bengaluru
Why every team now needs a habit of checking
A doctored screenshot can reach every team chat before lunch, and AI tools can produce a convincing chart, voice note or quote in seconds. At work, the cost is decisions made on numbers nobody checked and rumours that waste a week.
Clever people are not immune, because busy people forward first and think later. Evidence-based thinking training builds short, repeatable checks into everyday work, so teams spend less time arguing opinions and more time weighing what is actually known.
Analytical thinking is the most sought-after core skill, seen as essential by about seven in ten companies.
What participants will be able to do
Check before forwarding
Run a two-minute source check on any claim, screenshot or link before passing it to colleagues or customers.
Read charts honestly
Spot truncated axes, cherry-picked time ranges and missing baselines in charts and dashboards.
Question the headline number
Ask what an average, a percentage or an 'up 300%' figure really means, and which comparison is missing.
Recognise synthetic and doctored content
Use practical cues and simple verification steps to flag AI-generated images, cloned voices and edited documents.
Separate evidence from opinion
Label claims in a meeting as data, experience or assumption, and ask for the evidence without giving offence.
Change your mind well
Update a view in proportion to new evidence and say so openly, without flip-flopping or digging in.
Who should attend
- All employees who share information in team chats, email and social channels
- Analysts and MIS teams who build and present reports
- Managers who decide from dashboards, vendor proposals and market research
- Marketing, communications and research teams who publish claims externally
- Customer-facing staff in banking, insurance and retail who field forwarded rumours from customers
- GCC and IT teams checking AI outputs before they go into deliverables
Program outline
Recommended design, customised to your context after a short needs analysis.
01How claims travel at workModule 1 · 60 min+
- Why plausible claims spread faster than accurate ones
- The thinking shortcuts that make us forward first
- The two-minute check: source, date, evidence, motive
02Tracing a claim to its sourceModule 2 · 75 min+
- Lateral reading: leaving the page to see what others say about the source
- Finding the original study, dataset or quote behind a summary
- Reverse image searches and date checks
- Practice: trace three forwarded workplace claims
03Charts and headline statisticsModule 3 · 90 min+
- Truncated axes, dual axes and cherry-picked ranges
- Averages versus medians, percentages versus absolute numbers
- Correlation stories and missing comparison groups
- Redraw a misleading chart honestly
04AI-generated and doctored contentModule 4 · 60 min+
- What synthetic images, voices and documents look like in 2026
- Practical cues and their limits
- Call-back and second-channel checks for urgent requests
- When and how to escalate a suspected fake
05Evidence versus opinion in meetingsModule 5 · 75 min+
- Tagging claims as data, experience, assumption or preference
- Polite challenge phrases such as 'what would change our mind?'
- Weighing evidence quality: sample, source and recency
- Practice: a vendor pitch with impressive but weak numbers
06Updating your view and building team habitsModule 6 · 60 min+
- Changing your mind in proportion to evidence
- Writing a short evidence note for decisions
- Team sourcing habits: link the source, date the data, flag uncertainty
- A 30-day team habit plan
Sample training plan: 1-day hands-on design
This one-day design gives teams a fast, friendly routine for judging claims at work. Participants race to trace forwarded messages to their source, redraw a chart that misleads, unpick a headline statistic and test their instincts against AI-generated images and a cloned voice note. In a vendor pitch simulation they separate evidence from opinion without offending anyone, then practise changing their minds when new data arrives. Teams leave with an agreed sourcing standard and a 30-day habit.
Participants can check claims quickly, read numbers honestly and use evidence well in team decisions.
- 09:30–10:00Real or not?Energiser
- 10:00–11:00Trace it to the sourceGroup challenge
- 11:15–12:15Charts that lie politelyHands-on lab
- 12:15–13:00The headline numberSkill drill
- 13:45–14:30Synthetic or doctored?Demo & practice
- 14:30–15:30The vendor pitchSimulation
- 15:45–16:30Changing your mind out loudRole-play
- 16:30–17:30Our rules of evidenceAction planning
Every session’s activity, timings, outputs and materials, plus pre-work, a 90-day reinforcement plan and how impact is measured. Free, emailed to you instantly.
Recommended: 1 day in person (09:30–17:30), or 3 × 2.5-hour live virtual sessions, plus a 30-day team sourcing habit and check-ins at 30, 60 and 90 days. A sample design: every Bodhih program is customised after a short needs analysis.
How long is evidence-based thinking training?
The recommended design is one full day in person or three live virtual sessions of two and a half hours, followed by a 30-day team sourcing habit and manager check-ins at 30, 60 and 90 days. A 90-minute awareness session is available for large groups.
What activities are included in evidence-based thinking training?
Participants race to trace real work claims to their source, redraw misleading charts, rewrite headline statistics, verify an urgent voice note, challenge a vendor's weak evidence in a simulation, practise changing their minds out loud and draft a team sourcing standard.
How we deliver it
Real workplace claims
Exercises use the kinds of forwarded messages, vendor decks and dashboards your teams actually see, with no political or partisan content.
Investigate, don't lecture
Small teams race to verify claims using open methods, then compare how they reached their verdicts.
Bias-aware, not blame-heavy
Participants test their own thinking shortcuts in safe exercises, so the focus stays on habits rather than catching people out.
Team rules of evidence
Each team leaves with a short sourcing standard it agrees to use in reports, chats and meetings.
Tailored versions
For analysts and MIS teams
Deeper practice on chart design, sampling and presenting uncertainty honestly in management reports.
For customer-facing teams
Shorter, scenario-based sessions on handling rumours, fake offers and forwarded messages that customers bring to branches and contact centres.
For leadership teams
A half-day session on evidence notes, weighing expert advice and changing course publicly when the data shifts.
How we measure impact
Evaluation follows the Evaluate stage of the ADDIE model. Before the program, participants take AssessAll pre-assessments: Changing Your Mind: Evidence Response at Work, Misinformation & Media Literacy, and Reading Statistics in News, Advertising and Social Media Assessment for Everyday Readers. They repeat them as post-assessments at day 90. Managers run 30, 60 and 90 day follow-up check-ins on sourcing habits, and we review a sample of reports and decision notes with your team.
Pair this program with AssessAll, Bodhih’s AI assessment platform, for pre- and post-program skill measurement.
Frequently asked questions
What is evidence-based thinking training?
Evidence-based thinking training teaches employees to judge claims before acting on them. Participants learn to check sources, read charts and statistics critically, recognise AI-generated or doctored content, separate evidence from opinion and update their views when facts change. Bodhih's program uses real workplace examples rather than politics and ends with agreed team sourcing habits.
How is evidence-based thinking different from critical thinking?
Critical thinking is the broad skill of reasoning well. Evidence-based thinking is a focused, practical part of it: checking where claims come from, judging how strong the evidence is and acting in proportion. It is quicker to apply in daily work, which is why many teams take it alongside or after critical thinking training.
How can employees spot misinformation at work?
Pause before sharing and ask who said it, when and based on what. Search for the claim elsewhere rather than staying on the page, find the original source and check the date. Be extra careful with urgent, emotional or too-good-to-be-true messages. These checks take about two minutes and become automatic with practice.
Can you train people to spot deepfakes?
Partly. People can learn useful cues in images, audio and video, but fakes keep improving, so cues alone are not enough. The stronger habit is verification: confirming an urgent request through a second channel, checking the original source and pausing when a message pushes you to act fast. The program trains both.
How do you read a misleading chart?
Check the axis first: does it start at zero, and is the scale consistent? Look at the time range chosen and the comparison that is missing. Ask whether the numbers are absolute or percentages, averages or medians. Then imagine the chart with fuller data. Participants redraw misleading charts to make these checks stick.
How long is the program?
The recommended design is one day in person or three live virtual sessions of two and a half hours, followed by a 30-day team habit and check-ins at 30, 60 and 90 days. A 90-minute awareness session suits large groups. Bodhih customises the final design after a needs analysis with your leaders.
Is evidence-based thinking training available online and outside India?
Yes. It runs live virtually with shared verification exercises, and in person in Bengaluru, Mumbai, Delhi NCR, Hyderabad, Chennai and Pune. Bodhih's master trainers also deliver it in the Middle East, Singapore and other regions, using local examples of workplace rumours and data.